際際滷shows by User: MatthewStubbs6 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: MatthewStubbs6 / Wed, 15 May 2019 09:52:50 GMT 際際滷Share feed for 際際滷shows by User: MatthewStubbs6 Blueprint Series: Banking In The Cloud Ultra-high Reliability Architectures /slideshow/blueprint-series-banking-in-the-cloud-ultrahigh-reliability-architectures/145758373 bigdataldnreliablearchitecture-190515095250
Data architecture for a challenger bank.Speaker: Jason Maude, Head of Technology Advocacy, Starling BankSpeaker Bio: Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won't be able to understand them. He currently works at Starling Bank as their Head of Technology Advocacy and host of the Starling podcast.Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.Meetup sponsored by DataStax.]]>
Data architecture for a challenger bank.Speaker: Jason Maude, Head of Technology Advocacy, Starling BankSpeaker Bio: Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won't be able to understand them. He currently works at Starling Bank as their Head of Technology Advocacy and host of the Starling podcast.Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.Meetup sponsored by DataStax.]]> Wed, 15 May 2019 09:52:50 GMT /slideshow/blueprint-series-banking-in-the-cloud-ultrahigh-reliability-architectures/145758373 MatthewStubbs6@slideshare.net(MatthewStubbs6) Blueprint Series: Banking In The Cloud Ultra-high Reliability Architectures MatthewStubbs6 Data architecture for a challenger bank.Speaker: Jason Maude, Head of Technology Advocacy, Starling BankSpeaker Bio: Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won't be able to understand them. He currently works at Starling Bank as their Head of Technology Advocacy and host of the Starling podcast.Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.Meetup sponsored by DataStax. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdataldnreliablearchitecture-190515095250-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Data architecture for a challenger bank.Speaker: Jason Maude, Head of Technology Advocacy, Starling BankSpeaker Bio: Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won&#39;t be able to understand them. He currently works at Starling Bank as their Head of Technology Advocacy and host of the Starling podcast.Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.Meetup sponsored by DataStax.
Blueprint Series: Banking In The Cloud Ultra-high Reliability Architectures from Matt Stubbs
]]> 890 2 https://cdn.slidesharecdn.com/ss_thumbnails/bigdataldnreliablearchitecture-190515095250-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Speed Up Your Apache Cassandra Applications: A Practical Guide to Reactive Programming /slideshow/speed-up-your-apache-cassandra-applications-a-practical-guide-to-reactive-programming/145749196 skillsmatterlunvencassandra-190515090258
Speaker: Cedrick Lunven, Developer Advocate, DataStax Speaker Bio: Cedrick is a Developer Advocate at DataStax where he finds opportunities to share his passions by speaking about developing distributed architectures and implementing reference applications for developers. In 2013, he created FF4j, an open source framework for Feature Toggle which he still actively maintains. He is now contributor in JHipster team. Talk Synopsis: We have all introduced more or less functional programming and asynchronous operations into our applications in order to speed up and distribute treatments (e.g., multi-threading, future, completableFuture, etc.). To build truly non-blocking components, optimize resource usage, and avoid "callback hell" you have to think reactiveeverything is an event. From the frontend UI to database communications, its now possible to develop Java applications as fully reactive with frameworks like Spring WebFlux and Reactor. With high throughput and tunable consistency, applications built on top of Apache Cassandra fit perfectly within this pattern. DataStax has been developing Apache Cassandra drivers for years, and in the latest version of the enterprise driver we introduced reactive programming. During this session we will migrate, step by step, a vanilla CRUD Java service (SpringBoot / SpringMVC) into reactive with both code review and live coding. Bring home a working project! Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series. Meetup sponsored by DataStax.]]>
Speaker: Cedrick Lunven, Developer Advocate, DataStax Speaker Bio: Cedrick is a Developer Advocate at DataStax where he finds opportunities to share his passions by speaking about developing distributed architectures and implementing reference applications for developers. In 2013, he created FF4j, an open source framework for Feature Toggle which he still actively maintains. He is now contributor in JHipster team. Talk Synopsis: We have all introduced more or less functional programming and asynchronous operations into our applications in order to speed up and distribute treatments (e.g., multi-threading, future, completableFuture, etc.). To build truly non-blocking components, optimize resource usage, and avoid "callback hell" you have to think reactiveeverything is an event. From the frontend UI to database communications, its now possible to develop Java applications as fully reactive with frameworks like Spring WebFlux and Reactor. With high throughput and tunable consistency, applications built on top of Apache Cassandra fit perfectly within this pattern. DataStax has been developing Apache Cassandra drivers for years, and in the latest version of the enterprise driver we introduced reactive programming. During this session we will migrate, step by step, a vanilla CRUD Java service (SpringBoot / SpringMVC) into reactive with both code review and live coding. Bring home a working project! Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series. Meetup sponsored by DataStax.]]> Wed, 15 May 2019 09:02:58 GMT /slideshow/speed-up-your-apache-cassandra-applications-a-practical-guide-to-reactive-programming/145749196 MatthewStubbs6@slideshare.net(MatthewStubbs6) Speed Up Your Apache Cassandra Applications: A Practical Guide to Reactive Programming MatthewStubbs6 Speaker: Cedrick Lunven, Developer Advocate, DataStax Speaker Bio: Cedrick is a Developer Advocate at DataStax where he finds opportunities to share his passions by speaking about developing distributed architectures and implementing reference applications for developers. In 2013, he created FF4j, an open source framework for Feature Toggle which he still actively maintains. He is now contributor in JHipster team. Talk Synopsis: We have all introduced more or less functional programming and asynchronous operations into our applications in order to speed up and distribute treatments (e.g., multi-threading, future, completableFuture, etc.). To build truly non-blocking components, optimize resource usage, and avoid "callback hell" you have to think reactiveeverything is an event. From the frontend UI to database communications, its now possible to develop Java applications as fully reactive with frameworks like Spring WebFlux and Reactor. With high throughput and tunable consistency, applications built on top of Apache Cassandra fit perfectly within this pattern. DataStax has been developing Apache Cassandra drivers for years, and in the latest version of the enterprise driver we introduced reactive programming. During this session we will migrate, step by step, a vanilla CRUD Java service (SpringBoot / SpringMVC) into reactive with both code review and live coding. Bring home a working project! Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series. Meetup sponsored by DataStax. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/skillsmatterlunvencassandra-190515090258-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Speaker: Cedrick Lunven, Developer Advocate, DataStax Speaker Bio: Cedrick is a Developer Advocate at DataStax where he finds opportunities to share his passions by speaking about developing distributed architectures and implementing reference applications for developers. In 2013, he created FF4j, an open source framework for Feature Toggle which he still actively maintains. He is now contributor in JHipster team. Talk Synopsis: We have all introduced more or less functional programming and asynchronous operations into our applications in order to speed up and distribute treatments (e.g., multi-threading, future, completableFuture, etc.). To build truly non-blocking components, optimize resource usage, and avoid &quot;callback hell&quot; you have to think reactiveeverything is an event. From the frontend UI to database communications, its now possible to develop Java applications as fully reactive with frameworks like Spring WebFlux and Reactor. With high throughput and tunable consistency, applications built on top of Apache Cassandra fit perfectly within this pattern. DataStax has been developing Apache Cassandra drivers for years, and in the latest version of the enterprise driver we introduced reactive programming. During this session we will migrate, step by step, a vanilla CRUD Java service (SpringBoot / SpringMVC) into reactive with both code review and live coding. Bring home a working project! Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series. Meetup sponsored by DataStax.
Speed Up Your Apache Cassandra Applications: A Practical Guide to Reactive Programming from Matt Stubbs
]]> 363 5 https://cdn.slidesharecdn.com/ss_thumbnails/skillsmatterlunvencassandra-190515090258-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Blueprint Series: Expedia Partner Solutions, Data Platform /slideshow/blueprint-series-expedia-partner-solutions-data-platform/140857833 eps-data-platform-mar19-anselmo-silva-190415111602
Join Anselmo for an engaging overview of the new end-to-end data architecture at Expedia Group, taking a journey through cloud and on-prem data lakes, real-time and batch processes and streamlined access for data producers and consumers. Find out how the new architecture unifies a complex mix of data sources and feeds the data science development cycle. Expedia might appear to be a market-leading travel company in reality, its a highly successful technology and data science company.]]>
Join Anselmo for an engaging overview of the new end-to-end data architecture at Expedia Group, taking a journey through cloud and on-prem data lakes, real-time and batch processes and streamlined access for data producers and consumers. Find out how the new architecture unifies a complex mix of data sources and feeds the data science development cycle. Expedia might appear to be a market-leading travel company in reality, its a highly successful technology and data science company.]]> Mon, 15 Apr 2019 11:16:02 GMT /slideshow/blueprint-series-expedia-partner-solutions-data-platform/140857833 MatthewStubbs6@slideshare.net(MatthewStubbs6) Blueprint Series: Expedia Partner Solutions, Data Platform MatthewStubbs6 Join Anselmo for an engaging overview of the new end-to-end data architecture at Expedia Group, taking a journey through cloud and on-prem data lakes, real-time and batch processes and streamlined access for data producers and consumers. Find out how the new architecture unifies a complex mix of data sources and feeds the data science development cycle. Expedia might appear to be a market-leading travel company in reality, its a highly successful technology and data science company. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eps-data-platform-mar19-anselmo-silva-190415111602-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Join Anselmo for an engaging overview of the new end-to-end data architecture at Expedia Group, taking a journey through cloud and on-prem data lakes, real-time and batch processes and streamlined access for data producers and consumers. Find out how the new architecture unifies a complex mix of data sources and feeds the data science development cycle. Expedia might appear to be a market-leading travel company in reality, its a highly successful technology and data science company.
Blueprint Series: Expedia Partner Solutions, Data Platform from Matt Stubbs
]]> 1077 1 https://cdn.slidesharecdn.com/ss_thumbnails/eps-data-platform-mar19-anselmo-silva-190415111602-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Blueprint Series: Architecture Patterns for Implementing Serverless Microservices & Stream Processing /MatthewStubbs6/blueprint-series-architecture-patterns-for-implementing-serverless-microservices-stream-processing freeman-justgiving-2019-meetup-v0-190412104509
Richard Freeman talks about how the data science team at JustGiving built KOALA, a fully serverless stack for real-time web analytics capture, stream processing, metrics API, and storage service, supporting live data at scale from over 26M users. He discusses recent advances in serverless computing, and how you can implement traditionally container-based microservice patterns using serverless-based architectures instead. Deploying Serverless in your organisation can dramatically increase the delivery speed, productivity and flexibility of the development team, while reducing the overall running, DevOps and maintenance costs.]]>
Richard Freeman talks about how the data science team at JustGiving built KOALA, a fully serverless stack for real-time web analytics capture, stream processing, metrics API, and storage service, supporting live data at scale from over 26M users. He discusses recent advances in serverless computing, and how you can implement traditionally container-based microservice patterns using serverless-based architectures instead. Deploying Serverless in your organisation can dramatically increase the delivery speed, productivity and flexibility of the development team, while reducing the overall running, DevOps and maintenance costs.]]> Fri, 12 Apr 2019 10:45:09 GMT /MatthewStubbs6/blueprint-series-architecture-patterns-for-implementing-serverless-microservices-stream-processing MatthewStubbs6@slideshare.net(MatthewStubbs6) Blueprint Series: Architecture Patterns for Implementing Serverless Microservices & Stream Processing MatthewStubbs6 Richard Freeman talks about how the data science team at JustGiving built KOALA, a fully serverless stack for real-time web analytics capture, stream processing, metrics API, and storage service, supporting live data at scale from over 26M users. He discusses recent advances in serverless computing, and how you can implement traditionally container-based microservice patterns using serverless-based architectures instead. Deploying Serverless in your organisation can dramatically increase the delivery speed, productivity and flexibility of the development team, while reducing the overall running, DevOps and maintenance costs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/freeman-justgiving-2019-meetup-v0-190412104509-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Richard Freeman talks about how the data science team at JustGiving built KOALA, a fully serverless stack for real-time web analytics capture, stream processing, metrics API, and storage service, supporting live data at scale from over 26M users. He discusses recent advances in serverless computing, and how you can implement traditionally container-based microservice patterns using serverless-based architectures instead. Deploying Serverless in your organisation can dramatically increase the delivery speed, productivity and flexibility of the development team, while reducing the overall running, DevOps and maintenance costs.
Blueprint Series: Architecture Patterns for Implementing Serverless Microservices & Stream Processing from Matt Stubbs
]]> 446 1 https://cdn.slidesharecdn.com/ss_thumbnails/freeman-justgiving-2019-meetup-v0-190412104509-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: DATA, WHAT PEOPLE THINK AND WHAT YOU CAN DO TO BUILD TRUST. /slideshow/big-data-ldn-2018-data-what-people-think-and-what-you-can-do-to-build-trust/123394313 081550thedma-181119095125
Date: 14th November 2018 Location: Customer Experience Theatre Time: 15:50 - 16:20 Speaker: Michael Sturrock Organisation: DMA]]>
Date: 14th November 2018 Location: Customer Experience Theatre Time: 15:50 - 16:20 Speaker: Michael Sturrock Organisation: DMA]]> Mon, 19 Nov 2018 09:51:25 GMT /slideshow/big-data-ldn-2018-data-what-people-think-and-what-you-can-do-to-build-trust/123394313 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: DATA, WHAT PEOPLE THINK AND WHAT YOU CAN DO TO BUILD TRUST. MatthewStubbs6 Date: 14th November 2018 Location: Customer Experience Theatre Time: 15:50 - 16:20 Speaker: Michael Sturrock Organisation: DMA <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/081550thedma-181119095125-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 14th November 2018 Location: Customer Experience Theatre Time: 15:50 - 16:20 Speaker: Michael Sturrock Organisation: DMA
Big Data LDN 2018: DATA, WHAT PEOPLE THINK AND WHAT YOU CAN DO TO BUILD TRUST. from Matt Stubbs
]]> 586 7 https://cdn.slidesharecdn.com/ss_thumbnails/081550thedma-181119095125-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: DATABASE FOR THE INSTANT EXPERIENCE /MatthewStubbs6/big-data-ldn-2018-database-for-the-instant-experience 041230redislabs-181119094600
Date: 14th November 2018 Location: Customer Experience Theatre Time: 12:30 - 13:00 Speaker: David Maitland Organisation: Redis Labs About: This session will cover the technology underpinning at the software infrastructure level required to deliver the instant experience to the end user and enterprises alike. Use cases and value derived by major brands will be shared in this insightful session based the world's most loved database REDIS.]]>
Date: 14th November 2018 Location: Customer Experience Theatre Time: 12:30 - 13:00 Speaker: David Maitland Organisation: Redis Labs About: This session will cover the technology underpinning at the software infrastructure level required to deliver the instant experience to the end user and enterprises alike. Use cases and value derived by major brands will be shared in this insightful session based the world's most loved database REDIS.]]> Mon, 19 Nov 2018 09:46:00 GMT /MatthewStubbs6/big-data-ldn-2018-database-for-the-instant-experience MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: DATABASE FOR THE INSTANT EXPERIENCE MatthewStubbs6 Date: 14th November 2018 Location: Customer Experience Theatre Time: 12:30 - 13:00 Speaker: David Maitland Organisation: Redis Labs About: This session will cover the technology underpinning at the software infrastructure level required to deliver the instant experience to the end user and enterprises alike. Use cases and value derived by major brands will be shared in this insightful session based the world's most loved database REDIS. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/041230redislabs-181119094600-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 14th November 2018 Location: Customer Experience Theatre Time: 12:30 - 13:00 Speaker: David Maitland Organisation: Redis Labs About: This session will cover the technology underpinning at the software infrastructure level required to deliver the instant experience to the end user and enterprises alike. Use cases and value derived by major brands will be shared in this insightful session based the world&#39;s most loved database REDIS.
Big Data LDN 2018: DATABASE FOR THE INSTANT EXPERIENCE from Matt Stubbs
]]> 275 3 https://cdn.slidesharecdn.com/ss_thumbnails/041230redislabs-181119094600-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: BIG DATA TOO SLOW? SPRINKLE IN SOME NOSQL /slideshow/big-data-ldn-2018-big-data-too-slow-sprinkle-in-some-nosql/123393830 0311-181119094234
Date: 14th November 2018 Location: Customer Experience Theatre Time: 11:50 - 12:20 Speaker: Perry Krug Organisation: Couchbase About: Who wants to see an ad today for the shoes they bought last week? Everyone knows that customer experience is driven by data: don't waste an opportunity to get them the right data at the right time. Real-time results are critical, but raw speed isn't everything: you need power and flexibility to react to changes on the fly. Come learn how market-leading enterprises are using Couchbase as their speed layer for ingestion, incremental view and presentation layers alongside Kafka, Spark and Hadoop to liberate their data lakes.]]>
Date: 14th November 2018 Location: Customer Experience Theatre Time: 11:50 - 12:20 Speaker: Perry Krug Organisation: Couchbase About: Who wants to see an ad today for the shoes they bought last week? Everyone knows that customer experience is driven by data: don't waste an opportunity to get them the right data at the right time. Real-time results are critical, but raw speed isn't everything: you need power and flexibility to react to changes on the fly. Come learn how market-leading enterprises are using Couchbase as their speed layer for ingestion, incremental view and presentation layers alongside Kafka, Spark and Hadoop to liberate their data lakes.]]> Mon, 19 Nov 2018 09:42:33 GMT /slideshow/big-data-ldn-2018-big-data-too-slow-sprinkle-in-some-nosql/123393830 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: BIG DATA TOO SLOW? SPRINKLE IN SOME NOSQL MatthewStubbs6 Date: 14th November 2018 Location: Customer Experience Theatre Time: 11:50 - 12:20 Speaker: Perry Krug Organisation: Couchbase About: Who wants to see an ad today for the shoes they bought last week? Everyone knows that customer experience is driven by data: don't waste an opportunity to get them the right data at the right time. Real-time results are critical, but raw speed isn't everything: you need power and flexibility to react to changes on the fly. Come learn how market-leading enterprises are using Couchbase as their speed layer for ingestion, incremental view and presentation layers alongside Kafka, Spark and Hadoop to liberate their data lakes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/0311-181119094234-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 14th November 2018 Location: Customer Experience Theatre Time: 11:50 - 12:20 Speaker: Perry Krug Organisation: Couchbase About: Who wants to see an ad today for the shoes they bought last week? Everyone knows that customer experience is driven by data: don&#39;t waste an opportunity to get them the right data at the right time. Real-time results are critical, but raw speed isn&#39;t everything: you need power and flexibility to react to changes on the fly. Come learn how market-leading enterprises are using Couchbase as their speed layer for ingestion, incremental view and presentation layers alongside Kafka, Spark and Hadoop to liberate their data lakes.
Big Data LDN 2018: BIG DATA TOO SLOW? SPRINKLE IN SOME NOSQL from Matt Stubbs
]]> 250 2 https://cdn.slidesharecdn.com/ss_thumbnails/0311-181119094234-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: ENABLING DATA-DRIVEN DECISIONS WITH AUTOMATED INSIGHTS /slideshow/big-data-ldn-2018-enabling-datadriven-decisions-with-automated-insights/123393126 031150seenitusethisforposteventcopy-editedtoremoveconfidentialinfo-181119092958
Date: 13th November 2018 Location: Customer Experience Theatre Time: 11:50 - 12:20 Speaker: Charlotte Emms Organisation: seenit About: How do you get your colleagues interested in the power of data? Taking you through Seenits journey using Couchbase's NoSQL database to create a regular, fully automated update in an easily digestible format.]]>
Date: 13th November 2018 Location: Customer Experience Theatre Time: 11:50 - 12:20 Speaker: Charlotte Emms Organisation: seenit About: How do you get your colleagues interested in the power of data? Taking you through Seenits journey using Couchbase's NoSQL database to create a regular, fully automated update in an easily digestible format.]]> Mon, 19 Nov 2018 09:29:57 GMT /slideshow/big-data-ldn-2018-enabling-datadriven-decisions-with-automated-insights/123393126 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: ENABLING DATA-DRIVEN DECISIONS WITH AUTOMATED INSIGHTS MatthewStubbs6 Date: 13th November 2018 Location: Customer Experience Theatre Time: 11:50 - 12:20 Speaker: Charlotte Emms Organisation: seenit About: How do you get your colleagues interested in the power of data? Taking you through Seenits journey using Couchbase's NoSQL database to create a regular, fully automated update in an easily digestible format. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/031150seenitusethisforposteventcopy-editedtoremoveconfidentialinfo-181119092958-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 13th November 2018 Location: Customer Experience Theatre Time: 11:50 - 12:20 Speaker: Charlotte Emms Organisation: seenit About: How do you get your colleagues interested in the power of data? Taking you through Seenits journey using Couchbase&#39;s NoSQL database to create a regular, fully automated update in an easily digestible format.
Big Data LDN 2018: ENABLING DATA-DRIVEN DECISIONS WITH AUTOMATED INSIGHTS from Matt Stubbs
]]> 252 3 https://cdn.slidesharecdn.com/ss_thumbnails/031150seenitusethisforposteventcopy-editedtoremoveconfidentialinfo-181119092958-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAIN FROM DATA LAKE TO DATA MARKETPLACE /slideshow/big-data-ldn-2018-data-management-automation-and-the-information-supply-chain-from-data-lake-to-data-marketplace/123391112 0110-181119090147
Date: 14th November 2018 Location: Governance and MDM Theatre Time: 10:30 - 11:00 Speaker: Mike Ferguson Organisation: IBS About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up? In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.]]>
Date: 14th November 2018 Location: Governance and MDM Theatre Time: 10:30 - 11:00 Speaker: Mike Ferguson Organisation: IBS About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up? In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.]]> Mon, 19 Nov 2018 09:01:47 GMT /slideshow/big-data-ldn-2018-data-management-automation-and-the-information-supply-chain-from-data-lake-to-data-marketplace/123391112 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAIN FROM DATA LAKE TO DATA MARKETPLACE MatthewStubbs6 Date: 14th November 2018 Location: Governance and MDM Theatre Time: 10:30 - 11:00 Speaker: Mike Ferguson Organisation: IBS About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up? In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/0110-181119090147-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 14th November 2018 Location: Governance and MDM Theatre Time: 10:30 - 11:00 Speaker: Mike Ferguson Organisation: IBS About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up? In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAIN FROM DATA LAKE TO DATA MARKETPLACE from Matt Stubbs
]]> 332 8 https://cdn.slidesharecdn.com/ss_thumbnails/0110-181119090147-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: AI VS. GDPR /slideshow/big-data-ldn-2018-ai-vs-gdpr/123390097 041230immuta-181119084931
Date: 13th November 2018 Location: Governance and MDM Theatre Time: 12:30 - 13:00 Organisation: Immuta About: Artificial intelligence is rising in importance, but its also increasingly at loggerheads with data protection regimes like the GDPRor so it seems. In this talk, Sophie will explain where and how AI and GDPR conflict with one another, and how to resolve these tensions.]]>
Date: 13th November 2018 Location: Governance and MDM Theatre Time: 12:30 - 13:00 Organisation: Immuta About: Artificial intelligence is rising in importance, but its also increasingly at loggerheads with data protection regimes like the GDPRor so it seems. In this talk, Sophie will explain where and how AI and GDPR conflict with one another, and how to resolve these tensions.]]> Mon, 19 Nov 2018 08:49:31 GMT /slideshow/big-data-ldn-2018-ai-vs-gdpr/123390097 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: AI VS. GDPR MatthewStubbs6 Date: 13th November 2018 Location: Governance and MDM Theatre Time: 12:30 - 13:00 Organisation: Immuta About: Artificial intelligence is rising in importance, but its also increasingly at loggerheads with data protection regimes like the GDPRor so it seems. In this talk, Sophie will explain where and how AI and GDPR conflict with one another, and how to resolve these tensions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/041230immuta-181119084931-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 13th November 2018 Location: Governance and MDM Theatre Time: 12:30 - 13:00 Organisation: Immuta About: Artificial intelligence is rising in importance, but its also increasingly at loggerheads with data protection regimes like the GDPRor so it seems. In this talk, Sophie will explain where and how AI and GDPR conflict with one another, and how to resolve these tensions.
Big Data LDN 2018: AI VS. GDPR from Matt Stubbs
]]> 266 4 https://cdn.slidesharecdn.com/ss_thumbnails/041230immuta-181119084931-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: REALISING THE PROMISE OF SELF-SERVICE ANALYTICS WITH DATA VIRTUALISATION /slideshow/big-data-ldn-2018-realising-the-promise-of-selfservice-analytics-with-data-virtualisation/123389871 031150denodo-181119084614
Date: 13th November 2018 Location: Governance and MDM Theatre Time: 11:50 - 12:20 Speaker: Mark Pritchard Organisation: Denodo About: Self-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure. Join us to learn how data virtualization will allow you to gain real-time access to enterprise-wide data and deliver self-service analytics. We will explore how you can seamlessly unify fragmented data, replace your high-maintenance and high cost data integrations with a single, low-maintenance data virtualization layer; and how you can preserve your data integrity and ensure data lineage is fully traceable.]]>
Date: 13th November 2018 Location: Governance and MDM Theatre Time: 11:50 - 12:20 Speaker: Mark Pritchard Organisation: Denodo About: Self-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure. Join us to learn how data virtualization will allow you to gain real-time access to enterprise-wide data and deliver self-service analytics. We will explore how you can seamlessly unify fragmented data, replace your high-maintenance and high cost data integrations with a single, low-maintenance data virtualization layer; and how you can preserve your data integrity and ensure data lineage is fully traceable.]]> Mon, 19 Nov 2018 08:46:14 GMT /slideshow/big-data-ldn-2018-realising-the-promise-of-selfservice-analytics-with-data-virtualisation/123389871 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: REALISING THE PROMISE OF SELF-SERVICE ANALYTICS WITH DATA VIRTUALISATION MatthewStubbs6 Date: 13th November 2018 Location: Governance and MDM Theatre Time: 11:50 - 12:20 Speaker: Mark Pritchard Organisation: Denodo About: Self-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure. Join us to learn how data virtualization will allow you to gain real-time access to enterprise-wide data and deliver self-service analytics. We will explore how you can seamlessly unify fragmented data, replace your high-maintenance and high cost data integrations with a single, low-maintenance data virtualization layer; and how you can preserve your data integrity and ensure data lineage is fully traceable. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/031150denodo-181119084614-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 13th November 2018 Location: Governance and MDM Theatre Time: 11:50 - 12:20 Speaker: Mark Pritchard Organisation: Denodo About: Self-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure. Join us to learn how data virtualization will allow you to gain real-time access to enterprise-wide data and deliver self-service analytics. We will explore how you can seamlessly unify fragmented data, replace your high-maintenance and high cost data integrations with a single, low-maintenance data virtualization layer; and how you can preserve your data integrity and ensure data lineage is fully traceable.
Big Data LDN 2018: REALISING THE PROMISE OF SELF-SERVICE ANALYTICS WITH DATA VIRTUALISATION from Matt Stubbs
]]> 178 4 https://cdn.slidesharecdn.com/ss_thumbnails/031150denodo-181119084614-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: TURNING MULTIPLE DATA LAKES INTO A UNIFIED ANALYTIC DATA LAYER /slideshow/big-data-ldn-2018-turning-multiple-data-lakes-into-a-unified-analytic-data-layer/123389622 021110tibco-181119084124
Date: 13th November 2018 Location: Governance and MDM Theatre Time: 11:10 - 11:40 Organisation: TIBCO About: The big data phenomenon continues to accelerate, resulting in multiple data lakes at most organisations. However, according to Gartner, Through 2019, 90% of the information assets from big data analytic efforts will be siloed and unusable across multiple business processes. Are you ready to unleash this data from these silos and deliver the insights your organisation needs to drive compelling customer experiences, innovative new products and optimized operations? In this session you will learn how to apply data virtualisation to: - Access, transform and deliver data from across your lakes, clouds and other data sources - Empower a range of analytic users and tools with all the data they need - Move rapidly to a modern and flexible data architecture for the long run In addition, you will see a demonstration of data virtualisation in action.]]>
Date: 13th November 2018 Location: Governance and MDM Theatre Time: 11:10 - 11:40 Organisation: TIBCO About: The big data phenomenon continues to accelerate, resulting in multiple data lakes at most organisations. However, according to Gartner, Through 2019, 90% of the information assets from big data analytic efforts will be siloed and unusable across multiple business processes. Are you ready to unleash this data from these silos and deliver the insights your organisation needs to drive compelling customer experiences, innovative new products and optimized operations? In this session you will learn how to apply data virtualisation to: - Access, transform and deliver data from across your lakes, clouds and other data sources - Empower a range of analytic users and tools with all the data they need - Move rapidly to a modern and flexible data architecture for the long run In addition, you will see a demonstration of data virtualisation in action.]]> Mon, 19 Nov 2018 08:41:24 GMT /slideshow/big-data-ldn-2018-turning-multiple-data-lakes-into-a-unified-analytic-data-layer/123389622 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: TURNING MULTIPLE DATA LAKES INTO A UNIFIED ANALYTIC DATA LAYER MatthewStubbs6 Date: 13th November 2018 Location: Governance and MDM Theatre Time: 11:10 - 11:40 Organisation: TIBCO About: The big data phenomenon continues to accelerate, resulting in multiple data lakes at most organisations. However, according to Gartner, Through 2019, 90% of the information assets from big data analytic efforts will be siloed and unusable across multiple business processes. Are you ready to unleash this data from these silos and deliver the insights your organisation needs to drive compelling customer experiences, innovative new products and optimized operations? In this session you will learn how to apply data virtualisation to: - Access, transform and deliver data from across your lakes, clouds and other data sources - Empower a range of analytic users and tools with all the data they need - Move rapidly to a modern and flexible data architecture for the long run In addition, you will see a demonstration of data virtualisation in action. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/021110tibco-181119084124-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 13th November 2018 Location: Governance and MDM Theatre Time: 11:10 - 11:40 Organisation: TIBCO About: The big data phenomenon continues to accelerate, resulting in multiple data lakes at most organisations. However, according to Gartner, Through 2019, 90% of the information assets from big data analytic efforts will be siloed and unusable across multiple business processes. Are you ready to unleash this data from these silos and deliver the insights your organisation needs to drive compelling customer experiences, innovative new products and optimized operations? In this session you will learn how to apply data virtualisation to: - Access, transform and deliver data from across your lakes, clouds and other data sources - Empower a range of analytic users and tools with all the data they need - Move rapidly to a modern and flexible data architecture for the long run In addition, you will see a demonstration of data virtualisation in action.
Big Data LDN 2018: TURNING MULTIPLE DATA LAKES INTO A UNIFIED ANALYTIC DATA LAYER from Matt Stubbs
]]> 152 1 https://cdn.slidesharecdn.com/ss_thumbnails/021110tibco-181119084124-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA FLEXIBLE CLOUD, WHATEVER THE WORKLOAD /MatthewStubbs6/big-data-ldn-2018-microsoft-azure-and-cloudera-flexible-cloud-whatever-the-workload 071430microsoft-cloudera-181118103203
Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 14:30 - 15:00 Organisation: Microsoft, Cloudera]]>
Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 14:30 - 15:00 Organisation: Microsoft, Cloudera]]> Sun, 18 Nov 2018 10:32:03 GMT /MatthewStubbs6/big-data-ldn-2018-microsoft-azure-and-cloudera-flexible-cloud-whatever-the-workload MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA FLEXIBLE CLOUD, WHATEVER THE WORKLOAD MatthewStubbs6 Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 14:30 - 15:00 Organisation: Microsoft, Cloudera <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/071430microsoft-cloudera-181118103203-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 14:30 - 15:00 Organisation: Microsoft, Cloudera
Big Data LDN 2018: MICROSOFT AZURE AND CLOUDERA FLEXIBLE CLOUD, WHATEVER THE WORKLOAD from Matt Stubbs
]]> 301 3 https://cdn.slidesharecdn.com/ss_thumbnails/071430microsoft-cloudera-181118103203-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: CONSISTENT SECURITY, GOVERNANCE AND FLEXIBILITY FOR ALL WORKLOADS ON-PREMISES OR IN THE CLOUD /slideshow/big-data-ldn-2018-consistent-security-governance-and-flexibility-for-all-workloads-onpremises-or-in-the-cloud/123335676 041230cloudera-181118102841
Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 12:30 - 13:00 Organisation: Cloudera About: The growth of public cloud is reinforcing the need to think more carefully about taking a consistent approach to data governance as technology teams build out a flexible and agile infrastructure to meet the demands of the business. Join this session to learn more about Cloudera's recommended approach for enterprise-grade security and governance and how to ensure a consistent framework across private, public and on-premises environments.]]>
Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 12:30 - 13:00 Organisation: Cloudera About: The growth of public cloud is reinforcing the need to think more carefully about taking a consistent approach to data governance as technology teams build out a flexible and agile infrastructure to meet the demands of the business. Join this session to learn more about Cloudera's recommended approach for enterprise-grade security and governance and how to ensure a consistent framework across private, public and on-premises environments.]]> Sun, 18 Nov 2018 10:28:41 GMT /slideshow/big-data-ldn-2018-consistent-security-governance-and-flexibility-for-all-workloads-onpremises-or-in-the-cloud/123335676 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: CONSISTENT SECURITY, GOVERNANCE AND FLEXIBILITY FOR ALL WORKLOADS ON-PREMISES OR IN THE CLOUD MatthewStubbs6 Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 12:30 - 13:00 Organisation: Cloudera About: The growth of public cloud is reinforcing the need to think more carefully about taking a consistent approach to data governance as technology teams build out a flexible and agile infrastructure to meet the demands of the business. Join this session to learn more about Cloudera's recommended approach for enterprise-grade security and governance and how to ensure a consistent framework across private, public and on-premises environments. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/041230cloudera-181118102841-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 12:30 - 13:00 Organisation: Cloudera About: The growth of public cloud is reinforcing the need to think more carefully about taking a consistent approach to data governance as technology teams build out a flexible and agile infrastructure to meet the demands of the business. Join this session to learn more about Cloudera&#39;s recommended approach for enterprise-grade security and governance and how to ensure a consistent framework across private, public and on-premises environments.
Big Data LDN 2018: CONSISTENT SECURITY, GOVERNANCE AND FLEXIBILITY FOR ALL WORKLOADS ON-PREMISES OR IN THE CLOUD from Matt Stubbs
]]> 151 1 https://cdn.slidesharecdn.com/ss_thumbnails/041230cloudera-181118102841-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: MICROLISE: USING BIG DATA AND AI IN TRANSPORT AND LOGISTICS /MatthewStubbs6/big-data-ldn-2018-microlise-using-big-data-and-ai-in-transport-and-logistics 021110microlise-181118102146
Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 11:10 - 11:40 Organisation: Microlise About: Microlise are a leading provider of technology solutions to the transport and logistics industry worldwide. Discover how, with over 400,000 connected assets generating billions of messages a day, Microlise is evolving its platform to bring real-time analytics to its customers to improve safety, security and efficiency outcomes.]]>
Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 11:10 - 11:40 Organisation: Microlise About: Microlise are a leading provider of technology solutions to the transport and logistics industry worldwide. Discover how, with over 400,000 connected assets generating billions of messages a day, Microlise is evolving its platform to bring real-time analytics to its customers to improve safety, security and efficiency outcomes.]]> Sun, 18 Nov 2018 10:21:46 GMT /MatthewStubbs6/big-data-ldn-2018-microlise-using-big-data-and-ai-in-transport-and-logistics MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: MICROLISE: USING BIG DATA AND AI IN TRANSPORT AND LOGISTICS MatthewStubbs6 Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 11:10 - 11:40 Organisation: Microlise About: Microlise are a leading provider of technology solutions to the transport and logistics industry worldwide. Discover how, with over 400,000 connected assets generating billions of messages a day, Microlise is evolving its platform to bring real-time analytics to its customers to improve safety, security and efficiency outcomes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/021110microlise-181118102146-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 11:10 - 11:40 Organisation: Microlise About: Microlise are a leading provider of technology solutions to the transport and logistics industry worldwide. Discover how, with over 400,000 connected assets generating billions of messages a day, Microlise is evolving its platform to bring real-time analytics to its customers to improve safety, security and efficiency outcomes.
Big Data LDN 2018: MICROLISE: USING BIG DATA AND AI IN TRANSPORT AND LOGISTICS from Matt Stubbs
]]> 500 1 https://cdn.slidesharecdn.com/ss_thumbnails/021110microlise-181118102146-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: EXPERIAN: MAXIMISE EVERY OPPORTUNITY IN THE BIG DATA UNIVERSE /slideshow/big-data-ldn-2018-experian-maximise-every-opportunity-in-the-big-data-universe/123335373 011030experian-181118101842
Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 10:30 - 11:00 Speaker: Anna Matty Organisation: Experian About: Today there is a widespread focus on the 'how' in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer? But, how do you move to a place where you are not only solving a problem, you are redesigning the entire strategic potential of that problem? You are being armed with insight on what the problem is. Data and innovation offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight. Data science can present a unique opportunity for uncovered growth and accelerate your business through strategic innovation fast. In this session you will hear more about how today's analytics can move from a single task, to an ongoing strategic opportunity. An opportunity that helps you move at the speed of the market and helps you maximise every opportunity.]]>
Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 10:30 - 11:00 Speaker: Anna Matty Organisation: Experian About: Today there is a widespread focus on the 'how' in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer? But, how do you move to a place where you are not only solving a problem, you are redesigning the entire strategic potential of that problem? You are being armed with insight on what the problem is. Data and innovation offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight. Data science can present a unique opportunity for uncovered growth and accelerate your business through strategic innovation fast. In this session you will hear more about how today's analytics can move from a single task, to an ongoing strategic opportunity. An opportunity that helps you move at the speed of the market and helps you maximise every opportunity.]]> Sun, 18 Nov 2018 10:18:41 GMT /slideshow/big-data-ldn-2018-experian-maximise-every-opportunity-in-the-big-data-universe/123335373 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: EXPERIAN: MAXIMISE EVERY OPPORTUNITY IN THE BIG DATA UNIVERSE MatthewStubbs6 Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 10:30 - 11:00 Speaker: Anna Matty Organisation: Experian About: Today there is a widespread focus on the 'how' in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer? But, how do you move to a place where you are not only solving a problem, you are redesigning the entire strategic potential of that problem? You are being armed with insight on what the problem is. Data and innovation offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight. Data science can present a unique opportunity for uncovered growth and accelerate your business through strategic innovation fast. In this session you will hear more about how today's analytics can move from a single task, to an ongoing strategic opportunity. An opportunity that helps you move at the speed of the market and helps you maximise every opportunity. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/011030experian-181118101842-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 10:30 - 11:00 Speaker: Anna Matty Organisation: Experian About: Today there is a widespread focus on the &#39;how&#39; in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer? But, how do you move to a place where you are not only solving a problem, you are redesigning the entire strategic potential of that problem? You are being armed with insight on what the problem is. Data and innovation offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight. Data science can present a unique opportunity for uncovered growth and accelerate your business through strategic innovation fast. In this session you will hear more about how today&#39;s analytics can move from a single task, to an ongoing strategic opportunity. An opportunity that helps you move at the speed of the market and helps you maximise every opportunity.
Big Data LDN 2018: EXPERIAN: MAXIMISE EVERY OPPORTUNITY IN THE BIG DATA UNIVERSE from Matt Stubbs
]]> 374 1 https://cdn.slidesharecdn.com/ss_thumbnails/011030experian-181118101842-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: A LOOK INSIDE APPLIED MACHINE LEARNING /slideshow/big-data-ldn-2018-a-look-inside-applied-machine-learning/123335007 051310-cloudera-181118100504
Date: 13th November 2018 Location: Data-Driven Ldn Theatre Time: 13:10 - 13:40 Speaker: Brian Goral Organisation: Cloudera About: The field of machine learning (ML) ranges from the very practical and pragmatic to the highly theoretical and abstract. This talk describes several of the challenges facing organisations that want to leverage more of their data through ML, including some examples of the applied algorithms that are already delivering value in business contexts.]]>
Date: 13th November 2018 Location: Data-Driven Ldn Theatre Time: 13:10 - 13:40 Speaker: Brian Goral Organisation: Cloudera About: The field of machine learning (ML) ranges from the very practical and pragmatic to the highly theoretical and abstract. This talk describes several of the challenges facing organisations that want to leverage more of their data through ML, including some examples of the applied algorithms that are already delivering value in business contexts.]]> Sun, 18 Nov 2018 10:05:04 GMT /slideshow/big-data-ldn-2018-a-look-inside-applied-machine-learning/123335007 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: A LOOK INSIDE APPLIED MACHINE LEARNING MatthewStubbs6 Date: 13th November 2018 Location: Data-Driven Ldn Theatre Time: 13:10 - 13:40 Speaker: Brian Goral Organisation: Cloudera About: The field of machine learning (ML) ranges from the very practical and pragmatic to the highly theoretical and abstract. This talk describes several of the challenges facing organisations that want to leverage more of their data through ML, including some examples of the applied algorithms that are already delivering value in business contexts. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/051310-cloudera-181118100504-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 13th November 2018 Location: Data-Driven Ldn Theatre Time: 13:10 - 13:40 Speaker: Brian Goral Organisation: Cloudera About: The field of machine learning (ML) ranges from the very practical and pragmatic to the highly theoretical and abstract. This talk describes several of the challenges facing organisations that want to leverage more of their data through ML, including some examples of the applied algorithms that are already delivering value in business contexts.
Big Data LDN 2018: A LOOK INSIDE APPLIED MACHINE LEARNING from Matt Stubbs
]]> 210 2 https://cdn.slidesharecdn.com/ss_thumbnails/051310-cloudera-181118100504-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: DEUTSCHE BANK: THE PATH TO AUTOMATION IN A HIGHLY REGULATED SPACE /slideshow/big-data-ldn-2018-deutsche-bank-the-path-to-automation-in-a-highly-regulated-space/123334857 041230deutschebankcloudera-181118100001
Date: 13th November 2018 Location: Data-Driven Ldn Theatre Time: 12:30 - 13:00 Speaker: Paul Wilkinson, Naveen Gupta Organisation: Cloudera About: Investment banks are faced with some of the toughest regulatory requirements in the world. In a market where data is increasing and changing at extraordinary rates the journey with data governance never ends. In this session, Deutsche Bank will share their journey with big data and explain some of the processes and techniques they have employed to prepare the bank for todays challenges and tomorrows opportunities. Brought to you by Naveen Gupta, VP Software Engineering, Deutsche Bank and Paul Wilkinson, Principal Solutions Architect, Cloudera.]]>
Date: 13th November 2018 Location: Data-Driven Ldn Theatre Time: 12:30 - 13:00 Speaker: Paul Wilkinson, Naveen Gupta Organisation: Cloudera About: Investment banks are faced with some of the toughest regulatory requirements in the world. In a market where data is increasing and changing at extraordinary rates the journey with data governance never ends. In this session, Deutsche Bank will share their journey with big data and explain some of the processes and techniques they have employed to prepare the bank for todays challenges and tomorrows opportunities. Brought to you by Naveen Gupta, VP Software Engineering, Deutsche Bank and Paul Wilkinson, Principal Solutions Architect, Cloudera.]]> Sun, 18 Nov 2018 10:00:01 GMT /slideshow/big-data-ldn-2018-deutsche-bank-the-path-to-automation-in-a-highly-regulated-space/123334857 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: DEUTSCHE BANK: THE PATH TO AUTOMATION IN A HIGHLY REGULATED SPACE MatthewStubbs6 Date: 13th November 2018 Location: Data-Driven Ldn Theatre Time: 12:30 - 13:00 Speaker: Paul Wilkinson, Naveen Gupta Organisation: Cloudera About: Investment banks are faced with some of the toughest regulatory requirements in the world. In a market where data is increasing and changing at extraordinary rates the journey with data governance never ends. In this session, Deutsche Bank will share their journey with big data and explain some of the processes and techniques they have employed to prepare the bank for todays challenges and tomorrows opportunities. Brought to you by Naveen Gupta, VP Software Engineering, Deutsche Bank and Paul Wilkinson, Principal Solutions Architect, Cloudera. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/041230deutschebankcloudera-181118100001-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 13th November 2018 Location: Data-Driven Ldn Theatre Time: 12:30 - 13:00 Speaker: Paul Wilkinson, Naveen Gupta Organisation: Cloudera About: Investment banks are faced with some of the toughest regulatory requirements in the world. In a market where data is increasing and changing at extraordinary rates the journey with data governance never ends. In this session, Deutsche Bank will share their journey with big data and explain some of the processes and techniques they have employed to prepare the bank for todays challenges and tomorrows opportunities. Brought to you by Naveen Gupta, VP Software Engineering, Deutsche Bank and Paul Wilkinson, Principal Solutions Architect, Cloudera.
Big Data LDN 2018: DEUTSCHE BANK: THE PATH TO AUTOMATION IN A HIGHLY REGULATED SPACE from Matt Stubbs
]]> 756 3 https://cdn.slidesharecdn.com/ss_thumbnails/041230deutschebankcloudera-181118100001-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: FROM PROLIFERATION TO PRODUCTIVITY: MACHINE LEARNING DATA CATALOGUES /slideshow/big-data-ldn-2018-from-proliferation-to-productivity-machine-learning-data-catalogues/123334345 061350alatian-181118094208
Date: 14th November 2018 Location: Self-Service Analytics Theatre Time: 13:50 - 14:20 Speaker: Stephanie McReynolds Organisation: Alation About: Raw data is proliferating at an enormous rate. But so are our derived data assets - hundreds of dashboards, thousands of reports, millions of transformed data sets. Self-service analytics have ensured that this noise is making it increasingly hard to understand and trust data for decision-making. This trust gap is holding your organisation back from business outcomes. European analytics leaders have found a way to close the gap between data and decision-making. From MunichRe to Pfizer and Daimler, analytics teams are adopting data catalogues for thousands of self-service analytics users. Join us in this session to hear how data catalogues that activate data by incorporating machine learning can: Increase analyst productivity 20-40% Boost the understanding of the nuances of data and Establish trust in data-driven decisions with agile stewardship]]>
Date: 14th November 2018 Location: Self-Service Analytics Theatre Time: 13:50 - 14:20 Speaker: Stephanie McReynolds Organisation: Alation About: Raw data is proliferating at an enormous rate. But so are our derived data assets - hundreds of dashboards, thousands of reports, millions of transformed data sets. Self-service analytics have ensured that this noise is making it increasingly hard to understand and trust data for decision-making. This trust gap is holding your organisation back from business outcomes. European analytics leaders have found a way to close the gap between data and decision-making. From MunichRe to Pfizer and Daimler, analytics teams are adopting data catalogues for thousands of self-service analytics users. Join us in this session to hear how data catalogues that activate data by incorporating machine learning can: Increase analyst productivity 20-40% Boost the understanding of the nuances of data and Establish trust in data-driven decisions with agile stewardship]]> Sun, 18 Nov 2018 09:42:08 GMT /slideshow/big-data-ldn-2018-from-proliferation-to-productivity-machine-learning-data-catalogues/123334345 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: FROM PROLIFERATION TO PRODUCTIVITY: MACHINE LEARNING DATA CATALOGUES MatthewStubbs6 Date: 14th November 2018 Location: Self-Service Analytics Theatre Time: 13:50 - 14:20 Speaker: Stephanie McReynolds Organisation: Alation About: Raw data is proliferating at an enormous rate. But so are our derived data assets - hundreds of dashboards, thousands of reports, millions of transformed data sets. Self-service analytics have ensured that this noise is making it increasingly hard to understand and trust data for decision-making. This trust gap is holding your organisation back from business outcomes. European analytics leaders have found a way to close the gap between data and decision-making. From MunichRe to Pfizer and Daimler, analytics teams are adopting data catalogues for thousands of self-service analytics users. Join us in this session to hear how data catalogues that activate data by incorporating machine learning can: Increase analyst productivity 20-40% Boost the understanding of the nuances of data and Establish trust in data-driven decisions with agile stewardship <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/061350alatian-181118094208-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 14th November 2018 Location: Self-Service Analytics Theatre Time: 13:50 - 14:20 Speaker: Stephanie McReynolds Organisation: Alation About: Raw data is proliferating at an enormous rate. But so are our derived data assets - hundreds of dashboards, thousands of reports, millions of transformed data sets. Self-service analytics have ensured that this noise is making it increasingly hard to understand and trust data for decision-making. This trust gap is holding your organisation back from business outcomes. European analytics leaders have found a way to close the gap between data and decision-making. From MunichRe to Pfizer and Daimler, analytics teams are adopting data catalogues for thousands of self-service analytics users. Join us in this session to hear how data catalogues that activate data by incorporating machine learning can: Increase analyst productivity 20-40% Boost the understanding of the nuances of data and Establish trust in data-driven decisions with agile stewardship
Big Data LDN 2018: FROM PROLIFERATION TO PRODUCTIVITY: MACHINE LEARNING DATA CATALOGUES from Matt Stubbs
]]> 244 2 https://cdn.slidesharecdn.com/ss_thumbnails/061350alatian-181118094208-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Big Data LDN 2018: DATA APIS DONT DISCRIMINATE /slideshow/big-data-ldn-2018-data-apis-dont-discriminate/123333392 081550progress-181118091118
Date: 13th November 2018 Location: Self-Service Analytics Theatre Time: 15:50 - 16:20 Speaker: Nishanth Kadiyala Organisation: Progress About: The exploding API economy, combined with an advanced analytics market projected to reach $30 billion by 2019, is forcing IT to expose more and more data through APIs. Business analysts, data engineers, and data scientists are still not happy because their needs never really made it into the existing API strategies. This is because most APIs are designed for application integration, but not for the data workers who are looking for APIs that facilitate direct data access to run complex analytics. Data APIs are specifically designed to provide that frictionless data access experience to support analytics across standard interoperable interfaces such as OData (REST) or ODBC/JDBC (SQL). Consider expanding your API strategy to service the developers with open analytics in this $30 billion market.]]>
Date: 13th November 2018 Location: Self-Service Analytics Theatre Time: 15:50 - 16:20 Speaker: Nishanth Kadiyala Organisation: Progress About: The exploding API economy, combined with an advanced analytics market projected to reach $30 billion by 2019, is forcing IT to expose more and more data through APIs. Business analysts, data engineers, and data scientists are still not happy because their needs never really made it into the existing API strategies. This is because most APIs are designed for application integration, but not for the data workers who are looking for APIs that facilitate direct data access to run complex analytics. Data APIs are specifically designed to provide that frictionless data access experience to support analytics across standard interoperable interfaces such as OData (REST) or ODBC/JDBC (SQL). Consider expanding your API strategy to service the developers with open analytics in this $30 billion market.]]> Sun, 18 Nov 2018 09:11:18 GMT /slideshow/big-data-ldn-2018-data-apis-dont-discriminate/123333392 MatthewStubbs6@slideshare.net(MatthewStubbs6) Big Data LDN 2018: DATA APIS DONT DISCRIMINATE MatthewStubbs6 Date: 13th November 2018 Location: Self-Service Analytics Theatre Time: 15:50 - 16:20 Speaker: Nishanth Kadiyala Organisation: Progress About: The exploding API economy, combined with an advanced analytics market projected to reach $30 billion by 2019, is forcing IT to expose more and more data through APIs. Business analysts, data engineers, and data scientists are still not happy because their needs never really made it into the existing API strategies. This is because most APIs are designed for application integration, but not for the data workers who are looking for APIs that facilitate direct data access to run complex analytics. Data APIs are specifically designed to provide that frictionless data access experience to support analytics across standard interoperable interfaces such as OData (REST) or ODBC/JDBC (SQL). Consider expanding your API strategy to service the developers with open analytics in this $30 billion market. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/081550progress-181118091118-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Date: 13th November 2018 Location: Self-Service Analytics Theatre Time: 15:50 - 16:20 Speaker: Nishanth Kadiyala Organisation: Progress About: The exploding API economy, combined with an advanced analytics market projected to reach $30 billion by 2019, is forcing IT to expose more and more data through APIs. Business analysts, data engineers, and data scientists are still not happy because their needs never really made it into the existing API strategies. This is because most APIs are designed for application integration, but not for the data workers who are looking for APIs that facilitate direct data access to run complex analytics. Data APIs are specifically designed to provide that frictionless data access experience to support analytics across standard interoperable interfaces such as OData (REST) or ODBC/JDBC (SQL). Consider expanding your API strategy to service the developers with open analytics in this $30 billion market.
Big Data LDN 2018: DATA APIS DONT DISCRIMINATE from Matt Stubbs
]]> 143 1 https://cdn.slidesharecdn.com/ss_thumbnails/081550progress-181118091118-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/bigdataldnreliablearchitecture-190515095250-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/blueprint-series-banking-in-the-cloud-ultrahigh-reliability-architectures/145758373 Blueprint Series: Bank... https://cdn.slidesharecdn.com/ss_thumbnails/skillsmatterlunvencassandra-190515090258-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/speed-up-your-apache-cassandra-applications-a-practical-guide-to-reactive-programming/145749196 Speed Up Your Apache C... https://cdn.slidesharecdn.com/ss_thumbnails/eps-data-platform-mar19-anselmo-silva-190415111602-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/blueprint-series-expedia-partner-solutions-data-platform/140857833 Blueprint Series: Expe...