ºÝºÝߣshows by User: MemSQL / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: MemSQL / Mon, 27 Aug 2018 16:03:29 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: MemSQL Five ways database modernization simplifies your data life /slideshow/five-ways-database-modernization-simplifies-your-data-life/111777327 gartnercatalystfivewaysdbmodernizationsimplifiesyourdatalife-180827160329
This presentation was delivered at Gartner Catalyst in San Diego 2018. ]]>
This presentation was delivered at Gartner Catalyst in San Diego 2018. ]]> Mon, 27 Aug 2018 16:03:29 GMT /slideshow/five-ways-database-modernization-simplifies-your-data-life/111777327 MemSQL@slideshare.net(MemSQL) Five ways database modernization simplifies your data life MemSQL This presentation was delivered at Gartner Catalyst in San Diego 2018. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gartnercatalystfivewaysdbmodernizationsimplifiesyourdatalife-180827160329-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation was delivered at Gartner Catalyst in San Diego 2018.
Five ways database modernization simplifies your data life from SingleStore
]]> 2467 2 https://cdn.slidesharecdn.com/ss_thumbnails/gartnercatalystfivewaysdbmodernizationsimplifiesyourdatalife-180827160329-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 How Kafka and Modern Databases Benefit Apps and Analytics /MemSQL/how-kafka-and-modern-databases-benefit-apps-and-analytics howkafkaandmoderndatabasesbenefitappsandanalytics-180823215340
Learn how MemSQL and Kafka provide new powerful options for building modern database applications]]>
Learn how MemSQL and Kafka provide new powerful options for building modern database applications]]> Thu, 23 Aug 2018 21:53:40 GMT /MemSQL/how-kafka-and-modern-databases-benefit-apps-and-analytics MemSQL@slideshare.net(MemSQL) How Kafka and Modern Databases Benefit Apps and Analytics MemSQL Learn how MemSQL and Kafka provide new powerful options for building modern database applications <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howkafkaandmoderndatabasesbenefitappsandanalytics-180823215340-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Learn how MemSQL and Kafka provide new powerful options for building modern database applications
How Kafka and Modern Databases Benefit Apps and Analytics from SingleStore
]]> 373 3 https://cdn.slidesharecdn.com/ss_thumbnails/howkafkaandmoderndatabasesbenefitappsandanalytics-180823215340-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 Architecting Data in the AWS Ecosystem /slideshow/architecting-data-in-the-aws-ecosystem/92988344 memsqlarchitectingdataintheawsecosystemv2-180405163409
The database market is large and filled with many solutions. In this talk, Seth Luersen from MemSQL we will take a look at what is happening within AWS, the overall data landscape, and how customers can benefit from using MemSQL within the AWS ecosystem.]]>
The database market is large and filled with many solutions. In this talk, Seth Luersen from MemSQL we will take a look at what is happening within AWS, the overall data landscape, and how customers can benefit from using MemSQL within the AWS ecosystem.]]> Thu, 05 Apr 2018 16:34:09 GMT /slideshow/architecting-data-in-the-aws-ecosystem/92988344 MemSQL@slideshare.net(MemSQL) Architecting Data in the AWS Ecosystem MemSQL The database market is large and filled with many solutions. In this talk, Seth Luersen from MemSQL we will take a look at what is happening within AWS, the overall data landscape, and how customers can benefit from using MemSQL within the AWS ecosystem. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/memsqlarchitectingdataintheawsecosystemv2-180405163409-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The database market is large and filled with many solutions. In this talk, Seth Luersen from MemSQL we will take a look at what is happening within AWS, the overall data landscape, and how customers can benefit from using MemSQL within the AWS ecosystem.
Architecting Data in the AWS Ecosystem from SingleStore
]]> 6139 4 https://cdn.slidesharecdn.com/ss_thumbnails/memsqlarchitectingdataintheawsecosystemv2-180405163409-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 Building the Foundation for a Latency-Free Life /slideshow/building-the-foundation-for-a-latencyfree-life/89943645 memsqlstratasanjose2018keynote-180307180543
MemSQL CEO Nikita Shamgunov Strata Data San Jose 2018]]>
MemSQL CEO Nikita Shamgunov Strata Data San Jose 2018]]> Wed, 07 Mar 2018 18:05:43 GMT /slideshow/building-the-foundation-for-a-latencyfree-life/89943645 MemSQL@slideshare.net(MemSQL) Building the Foundation for a Latency-Free Life MemSQL MemSQL CEO Nikita Shamgunov Strata Data San Jose 2018 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/memsqlstratasanjose2018keynote-180307180543-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> MemSQL CEO Nikita Shamgunov Strata Data San Jose 2018
Building the Foundation for a Latency-Free Life from SingleStore
]]> 524 3 https://cdn.slidesharecdn.com/ss_thumbnails/memsqlstratasanjose2018keynote-180307180543-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 Converging Database Transactions and Analytics /slideshow/converging-database-transactions-and-analytics/89835282 convergingdatabasetransactionsandanalytics-180306202622
delivered at the Gartner Data and Analytics 2018 show in Texas. This presentation discusses real-time applications and their impact on existing data infrastructures]]>
delivered at the Gartner Data and Analytics 2018 show in Texas. This presentation discusses real-time applications and their impact on existing data infrastructures]]> Tue, 06 Mar 2018 20:26:21 GMT /slideshow/converging-database-transactions-and-analytics/89835282 MemSQL@slideshare.net(MemSQL) Converging Database Transactions and Analytics MemSQL delivered at the Gartner Data and Analytics 2018 show in Texas. This presentation discusses real-time applications and their impact on existing data infrastructures <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/convergingdatabasetransactionsandanalytics-180306202622-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> delivered at the Gartner Data and Analytics 2018 show in Texas. This presentation discusses real-time applications and their impact on existing data infrastructures
Converging Database Transactions and Analytics from SingleStore
]]> 3788 2 https://cdn.slidesharecdn.com/ss_thumbnails/convergingdatabasetransactionsandanalytics-180306202622-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 Building a Machine Learning Recommendation Engine in SQL /slideshow/building-a-machine-learning-recommendation-engine-in-sql/89735361 presentgartnermarch2018-180306043925
MemSQL Presentation from Gartner Data and Analytics Summit 2018]]>
MemSQL Presentation from Gartner Data and Analytics Summit 2018]]> Tue, 06 Mar 2018 04:39:25 GMT /slideshow/building-a-machine-learning-recommendation-engine-in-sql/89735361 MemSQL@slideshare.net(MemSQL) Building a Machine Learning Recommendation Engine in SQL MemSQL MemSQL Presentation from Gartner Data and Analytics Summit 2018 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentgartnermarch2018-180306043925-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> MemSQL Presentation from Gartner Data and Analytics Summit 2018
Building a Machine Learning Recommendation Engine in SQL from SingleStore
]]> 2229 7 https://cdn.slidesharecdn.com/ss_thumbnails/presentgartnermarch2018-180306043925-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 MemSQL 201: Advanced Tips and Tricks Webcast /slideshow/memsql-201-advanced-tips-and-tricks-webcast/86866982 memsql201webinarjan20181-180129182456
Topics discussed include differences between columnstore and rowstore engines, data ingestion, data sharding and query tuning, lastly memory and workload management. Watch the replay at https://memsql.wistia.com/medias/4siccvlorm]]>
Topics discussed include differences between columnstore and rowstore engines, data ingestion, data sharding and query tuning, lastly memory and workload management. Watch the replay at https://memsql.wistia.com/medias/4siccvlorm]]> Mon, 29 Jan 2018 18:24:56 GMT /slideshow/memsql-201-advanced-tips-and-tricks-webcast/86866982 MemSQL@slideshare.net(MemSQL) MemSQL 201: Advanced Tips and Tricks Webcast MemSQL Topics discussed include differences between columnstore and rowstore engines, data ingestion, data sharding and query tuning, lastly memory and workload management. Watch the replay at https://memsql.wistia.com/medias/4siccvlorm <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/memsql201webinarjan20181-180129182456-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Topics discussed include differences between columnstore and rowstore engines, data ingestion, data sharding and query tuning, lastly memory and workload management. Watch the replay at https://memsql.wistia.com/medias/4siccvlorm
MemSQL 201: Advanced Tips and Tricks Webcast from SingleStore
]]> 2109 3 https://cdn.slidesharecdn.com/ss_thumbnails/memsql201webinarjan20181-180129182456-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 Introduction to MemSQL /slideshow/introduction-to-memsql/86378368 introtomemsqlwebcastjan2018-180119003204
This introductory presentation describes the company and technology of MemSQL, the database and data warehouse for real-time applications]]>
This introductory presentation describes the company and technology of MemSQL, the database and data warehouse for real-time applications]]> Fri, 19 Jan 2018 00:32:04 GMT /slideshow/introduction-to-memsql/86378368 MemSQL@slideshare.net(MemSQL) Introduction to MemSQL MemSQL This introductory presentation describes the company and technology of MemSQL, the database and data warehouse for real-time applications <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introtomemsqlwebcastjan2018-180119003204-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This introductory presentation describes the company and technology of MemSQL, the database and data warehouse for real-time applications
Introduction to MemSQL from SingleStore
]]> 1675 4 https://cdn.slidesharecdn.com/ss_thumbnails/introtomemsqlwebcastjan2018-180119003204-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 An Engineering Approach to Database Evaluations /slideshow/an-engineering-approach-to-database-evaluations/84019858 presentdatabaseevaluations-171213180154
This talk will go over a methodical approach for making a decision, dig into interesting tradeoffs, and give tips about what things to look for under the hood and how to evaluate the tech behind the database.]]>
This talk will go over a methodical approach for making a decision, dig into interesting tradeoffs, and give tips about what things to look for under the hood and how to evaluate the tech behind the database.]]> Wed, 13 Dec 2017 18:01:54 GMT /slideshow/an-engineering-approach-to-database-evaluations/84019858 MemSQL@slideshare.net(MemSQL) An Engineering Approach to Database Evaluations MemSQL This talk will go over a methodical approach for making a decision, dig into interesting tradeoffs, and give tips about what things to look for under the hood and how to evaluate the tech behind the database. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentdatabaseevaluations-171213180154-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This talk will go over a methodical approach for making a decision, dig into interesting tradeoffs, and give tips about what things to look for under the hood and how to evaluate the tech behind the database.
An Engineering Approach to Database Evaluations from SingleStore
]]> 1136 4 https://cdn.slidesharecdn.com/ss_thumbnails/presentdatabaseevaluations-171213180154-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 Building a Fault Tolerant Distributed Architecture /slideshow/building-a-fault-tolerant-distributed-architecture/84019724 meetupbuildingafaulttolerantdistributedarchitecture-171213175840
This talk will highlight some of the challenges to building a fault tolerant distributed architecture, and how MemSQL's architecture tackles these challenges.]]>
This talk will highlight some of the challenges to building a fault tolerant distributed architecture, and how MemSQL's architecture tackles these challenges.]]> Wed, 13 Dec 2017 17:58:40 GMT /slideshow/building-a-fault-tolerant-distributed-architecture/84019724 MemSQL@slideshare.net(MemSQL) Building a Fault Tolerant Distributed Architecture MemSQL This talk will highlight some of the challenges to building a fault tolerant distributed architecture, and how MemSQL's architecture tackles these challenges. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/meetupbuildingafaulttolerantdistributedarchitecture-171213175840-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This talk will highlight some of the challenges to building a fault tolerant distributed architecture, and how MemSQL&#39;s architecture tackles these challenges.
Building a Fault Tolerant Distributed Architecture from SingleStore
]]> 843 1 https://cdn.slidesharecdn.com/ss_thumbnails/meetupbuildingafaulttolerantdistributedarchitecture-171213175840-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 Stream Processing with Pipelines and Stored Procedures /slideshow/stream-processing-with-pipelines-and-stored-procedures/84019622 meetup122f112f17tewei-171213175633
This talk will discuss an upcoming feature in MemSQL 6.5 showing how advanced stream processing use cases can be tackled with a combination of stored procedures (new in 6.0) and MemSQL's pipelines feature.]]>
This talk will discuss an upcoming feature in MemSQL 6.5 showing how advanced stream processing use cases can be tackled with a combination of stored procedures (new in 6.0) and MemSQL's pipelines feature.]]> Wed, 13 Dec 2017 17:56:33 GMT /slideshow/stream-processing-with-pipelines-and-stored-procedures/84019622 MemSQL@slideshare.net(MemSQL) Stream Processing with Pipelines and Stored Procedures MemSQL This talk will discuss an upcoming feature in MemSQL 6.5 showing how advanced stream processing use cases can be tackled with a combination of stored procedures (new in 6.0) and MemSQL's pipelines feature. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/meetup122f112f17tewei-171213175633-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This talk will discuss an upcoming feature in MemSQL 6.5 showing how advanced stream processing use cases can be tackled with a combination of stored procedures (new in 6.0) and MemSQL&#39;s pipelines feature.
Stream Processing with Pipelines and Stored Procedures from SingleStore
]]> 902 1 https://cdn.slidesharecdn.com/ss_thumbnails/meetup122f112f17tewei-171213175633-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 Curriculum Associates Strata NYC 2017 /slideshow/curriculum-associates-strata-nyc-2017-82395910/82395910 curriculumassociatesstrata2017-171120175847
Overview of Curriculum Associates' use of MemSQL]]>
Overview of Curriculum Associates' use of MemSQL]]> Mon, 20 Nov 2017 17:58:47 GMT /slideshow/curriculum-associates-strata-nyc-2017-82395910/82395910 MemSQL@slideshare.net(MemSQL) Curriculum Associates Strata NYC 2017 MemSQL Overview of Curriculum Associates' use of MemSQL <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/curriculumassociatesstrata2017-171120175847-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Overview of Curriculum Associates&#39; use of MemSQL
Curriculum Associates Strata NYC 2017 from SingleStore
]]> 1969 3 https://cdn.slidesharecdn.com/ss_thumbnails/curriculumassociatesstrata2017-171120175847-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 Image Recognition on Streaming Data /slideshow/image-recognition-on-streaming-data-82393157/82393157 denverroadshow-171120171758
Learn how to leverage MPP technology and distributed data to deliver high volume transactional and analytical work loads which result in real time dashboards on rapidly changing data using standard SQL tools. Demonstrations will include the streaming of structured and JSON data from Kafka messages through a micro-batch ETL process into the MemSQL database where the data is then queried using standard SQL tools and visualized leveraging Tableau. This session will focus on image recognition, the techniques available, and how to put those techniques into production. It will further explore algebraic operations on tensors, and how that can assist in large-scale, high-throughput, highly-parallel image recognition. LIVE DEMO: Constructing and executing a real-time image recognition pipeline using Kafka and Spark. Speaker: Neil Dahlke, MemSQL Senior Solutions Engineer]]>
Learn how to leverage MPP technology and distributed data to deliver high volume transactional and analytical work loads which result in real time dashboards on rapidly changing data using standard SQL tools. Demonstrations will include the streaming of structured and JSON data from Kafka messages through a micro-batch ETL process into the MemSQL database where the data is then queried using standard SQL tools and visualized leveraging Tableau. This session will focus on image recognition, the techniques available, and how to put those techniques into production. It will further explore algebraic operations on tensors, and how that can assist in large-scale, high-throughput, highly-parallel image recognition. LIVE DEMO: Constructing and executing a real-time image recognition pipeline using Kafka and Spark. Speaker: Neil Dahlke, MemSQL Senior Solutions Engineer]]> Mon, 20 Nov 2017 17:17:58 GMT /slideshow/image-recognition-on-streaming-data-82393157/82393157 MemSQL@slideshare.net(MemSQL) Image Recognition on Streaming Data MemSQL Learn how to leverage MPP technology and distributed data to deliver high volume transactional and analytical work loads which result in real time dashboards on rapidly changing data using standard SQL tools. Demonstrations will include the streaming of structured and JSON data from Kafka messages through a micro-batch ETL process into the MemSQL database where the data is then queried using standard SQL tools and visualized leveraging Tableau. This session will focus on image recognition, the techniques available, and how to put those techniques into production. It will further explore algebraic operations on tensors, and how that can assist in large-scale, high-throughput, highly-parallel image recognition. LIVE DEMO: Constructing and executing a real-time image recognition pipeline using Kafka and Spark. Speaker: Neil Dahlke, MemSQL Senior Solutions Engineer <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/denverroadshow-171120171758-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Learn how to leverage MPP technology and distributed data to deliver high volume transactional and analytical work loads which result in real time dashboards on rapidly changing data using standard SQL tools. Demonstrations will include the streaming of structured and JSON data from Kafka messages through a micro-batch ETL process into the MemSQL database where the data is then queried using standard SQL tools and visualized leveraging Tableau. This session will focus on image recognition, the techniques available, and how to put those techniques into production. It will further explore algebraic operations on tensors, and how that can assist in large-scale, high-throughput, highly-parallel image recognition. LIVE DEMO: Constructing and executing a real-time image recognition pipeline using Kafka and Spark. Speaker: Neil Dahlke, MemSQL Senior Solutions Engineer
Image Recognition on Streaming Data from SingleStore
]]> 608 1 https://cdn.slidesharecdn.com/ss_thumbnails/denverroadshow-171120171758-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 Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition /slideshow/spark-summit-dublin-2017-memsql-realtime-image-recognition/81273372 sparksummtdublin2017-memsql-real-timeimagerecognition-171027074702
Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition]]>
Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition]]> Fri, 27 Oct 2017 07:47:02 GMT /slideshow/spark-summit-dublin-2017-memsql-realtime-image-recognition/81273372 MemSQL@slideshare.net(MemSQL) Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition MemSQL Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sparksummtdublin2017-memsql-real-timeimagerecognition-171027074702-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition
Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition from SingleStore
]]> 845 2 https://cdn.slidesharecdn.com/ss_thumbnails/sparksummtdublin2017-memsql-real-timeimagerecognition-171027074702-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 The State of the Data Warehouse in 2017 and Beyond /slideshow/the-state-of-the-data-warehouse-in-2017-and-beyond/81110066 stateofdatawarehouseby451research2017-171023164057
The State of the Data Warehouse in 2017 and Beyond was presented by 451 Research analyst James Curtis and Mike Boyarski from MemSQL]]>
The State of the Data Warehouse in 2017 and Beyond was presented by 451 Research analyst James Curtis and Mike Boyarski from MemSQL]]> Mon, 23 Oct 2017 16:40:56 GMT /slideshow/the-state-of-the-data-warehouse-in-2017-and-beyond/81110066 MemSQL@slideshare.net(MemSQL) The State of the Data Warehouse in 2017 and Beyond MemSQL The State of the Data Warehouse in 2017 and Beyond was presented by 451 Research analyst James Curtis and Mike Boyarski from MemSQL <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/stateofdatawarehouseby451research2017-171023164057-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The State of the Data Warehouse in 2017 and Beyond was presented by 451 Research analyst James Curtis and Mike Boyarski from MemSQL
The State of the Data Warehouse in 2017 and Beyond from SingleStore
]]> 1124 3 https://cdn.slidesharecdn.com/ss_thumbnails/stateofdatawarehouseby451research2017-171023164057-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 How Database Convergence Impacts the Coming Decades of Data Management /slideshow/how-database-convergence-impacts-the-coming-decades-of-data-management/80944637 nydatabasemeetupoct2017-nikita1-171018150843
How Database Convergence Impacts the Coming Decades of Data Management by Nikita Shamgunov, CEO and co-founder of MemSQL. Presented at NYC Database Month in October 2017. NYC Database Month is the largest database meetup in New York, featuring talks from leaders in the technology space. You can learn more at http://www.databasemonth.com. ]]>
How Database Convergence Impacts the Coming Decades of Data Management by Nikita Shamgunov, CEO and co-founder of MemSQL. Presented at NYC Database Month in October 2017. NYC Database Month is the largest database meetup in New York, featuring talks from leaders in the technology space. You can learn more at http://www.databasemonth.com. ]]> Wed, 18 Oct 2017 15:08:43 GMT /slideshow/how-database-convergence-impacts-the-coming-decades-of-data-management/80944637 MemSQL@slideshare.net(MemSQL) How Database Convergence Impacts the Coming Decades of Data Management MemSQL How Database Convergence Impacts the Coming Decades of Data Management by Nikita Shamgunov, CEO and co-founder of MemSQL. Presented at NYC Database Month in October 2017. NYC Database Month is the largest database meetup in New York, featuring talks from leaders in the technology space. You can learn more at http://www.databasemonth.com. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nydatabasemeetupoct2017-nikita1-171018150843-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> How Database Convergence Impacts the Coming Decades of Data Management by Nikita Shamgunov, CEO and co-founder of MemSQL. Presented at NYC Database Month in October 2017. NYC Database Month is the largest database meetup in New York, featuring talks from leaders in the technology space. You can learn more at http://www.databasemonth.com.
How Database Convergence Impacts the Coming Decades of Data Management from SingleStore
]]> 631 5 https://cdn.slidesharecdn.com/ss_thumbnails/nydatabasemeetupoct2017-nikita1-171018150843-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 Teaching Databases to Learn in the World of AI /slideshow/teaching-databases-to-learn-in-the-world-of-ai/80220457 memsqlstratakeynotenikita0-170927150544
Nikita Shamgunov, MemSQL CEO, keynote from Strata Data Conference, NYC]]>
Nikita Shamgunov, MemSQL CEO, keynote from Strata Data Conference, NYC]]> Wed, 27 Sep 2017 15:05:44 GMT /slideshow/teaching-databases-to-learn-in-the-world-of-ai/80220457 MemSQL@slideshare.net(MemSQL) Teaching Databases to Learn in the World of AI MemSQL Nikita Shamgunov, MemSQL CEO, keynote from Strata Data Conference, NYC <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/memsqlstratakeynotenikita0-170927150544-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Nikita Shamgunov, MemSQL CEO, keynote from Strata Data Conference, NYC
Teaching Databases to Learn in the World of AI from SingleStore
]]> 906 3 https://cdn.slidesharecdn.com/ss_thumbnails/memsqlstratakeynotenikita0-170927150544-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 Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud /slideshow/gartner-catalyst-2017-the-data-warehouse-blueprint-for-ml-ai-and-hybrid-cloud/79101488 thedatawarehouseblueprintformlaiandhybridcloud-170823195635
Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud]]>
Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud]]> Wed, 23 Aug 2017 19:56:35 GMT /slideshow/gartner-catalyst-2017-the-data-warehouse-blueprint-for-ml-ai-and-hybrid-cloud/79101488 MemSQL@slideshare.net(MemSQL) Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud MemSQL Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thedatawarehouseblueprintformlaiandhybridcloud-170823195635-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud
Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud from SingleStore
]]> 3028 3 https://cdn.slidesharecdn.com/ss_thumbnails/thedatawarehouseblueprintformlaiandhybridcloud-170823195635-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 Gartner Catalyst 2017: Image Recognition on Streaming Data /slideshow/image-recognition-on-streaming-data/79096733 imagerecognitiononstreamingdata-170823171433
Image Recognition on Streaming Data]]>
Image Recognition on Streaming Data]]> Wed, 23 Aug 2017 17:14:33 GMT /slideshow/image-recognition-on-streaming-data/79096733 MemSQL@slideshare.net(MemSQL) Gartner Catalyst 2017: Image Recognition on Streaming Data MemSQL Image Recognition on Streaming Data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/imagerecognitiononstreamingdata-170823171433-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Image Recognition on Streaming Data
Gartner Catalyst 2017: Image Recognition on Streaming Data from SingleStore
]]> 485 4 https://cdn.slidesharecdn.com/ss_thumbnails/imagerecognitiononstreamingdata-170823171433-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 Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark /slideshow/spark-summit-west-2017-realtime-image-recognition-with-memsql-and-spark/76743358 sparksummtwest2017-real-timeimagerecognitionmemsql-170607204825
Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark Nikita Shamgunov, CTO, MemSQL]]>
Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark Nikita Shamgunov, CTO, MemSQL]]> Wed, 07 Jun 2017 20:48:25 GMT /slideshow/spark-summit-west-2017-realtime-image-recognition-with-memsql-and-spark/76743358 MemSQL@slideshare.net(MemSQL) Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark MemSQL Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark Nikita Shamgunov, CTO, MemSQL <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sparksummtwest2017-real-timeimagerecognitionmemsql-170607204825-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark Nikita Shamgunov, CTO, MemSQL
Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark from SingleStore
]]> 492 3 https://cdn.slidesharecdn.com/ss_thumbnails/sparksummtwest2017-real-timeimagerecognitionmemsql-170607204825-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://cdn.slidesharecdn.com/profile-photo-MemSQL-48x48.jpg?cb=1723834166 SingleStore is one platform for all data, built so you can engage with insight in every moment. Trusted by industry leaders, SingleStore enables enterprises to adapt to change as it happens, embrace diverse data with ease, and accelerate the pace of innovation. SingleStore is venture-backed and headquartered in San Francisco with offices in Portland, Seattle, Boston, London, Lisbon, and Kyiv. Defining the future starts with The Database of Nowâ„¢ www.singlestore.com https://cdn.slidesharecdn.com/ss_thumbnails/gartnercatalystfivewaysdbmodernizationsimplifiesyourdatalife-180827160329-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/five-ways-database-modernization-simplifies-your-data-life/111777327 Five ways database mod... https://cdn.slidesharecdn.com/ss_thumbnails/howkafkaandmoderndatabasesbenefitappsandanalytics-180823215340-thumbnail.jpg?width=320&height=320&fit=bounds MemSQL/how-kafka-and-modern-databases-benefit-apps-and-analytics How Kafka and Modern D... https://cdn.slidesharecdn.com/ss_thumbnails/memsqlarchitectingdataintheawsecosystemv2-180405163409-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/architecting-data-in-the-aws-ecosystem/92988344 Architecting Data in t...