ºÝºÝߣshows by User: granthenke / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: granthenke / Thu, 05 Dec 2019 15:30:17 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: granthenke Enabling the Active Data Warehouse with Apache Kudu /slideshow/enabling-the-active-data-warehouse-with-apache-kudu/201919012 enablingtheactivedatawarehousewithapachekudu-191205153017
Apache Kudu is an open source data storage engine that makes fast analytics on fast and changing data easy. In this presentation, Grant Henke from Cloudera will provide an overview of what Kudu is, how it works, and how it makes building an active data warehouse for real time analytics easy. Drawing on experiences from some of our largest deployments, this talk will also include an overview of common Kudu use cases and patterns. Additionally, some of the newest Kudu features and what is coming next will be covered.]]>

Apache Kudu is an open source data storage engine that makes fast analytics on fast and changing data easy. In this presentation, Grant Henke from Cloudera will provide an overview of what Kudu is, how it works, and how it makes building an active data warehouse for real time analytics easy. Drawing on experiences from some of our largest deployments, this talk will also include an overview of common Kudu use cases and patterns. Additionally, some of the newest Kudu features and what is coming next will be covered.]]>
Thu, 05 Dec 2019 15:30:17 GMT /slideshow/enabling-the-active-data-warehouse-with-apache-kudu/201919012 granthenke@slideshare.net(granthenke) Enabling the Active Data Warehouse with Apache Kudu granthenke Apache Kudu is an open source data storage engine that makes fast analytics on fast and changing data easy. In this presentation, Grant Henke from Cloudera will provide an overview of what Kudu is, how it works, and how it makes building an active data warehouse for real time analytics easy. Drawing on experiences from some of our largest deployments, this talk will also include an overview of common Kudu use cases and patterns. Additionally, some of the newest Kudu features and what is coming next will be covered. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/enablingtheactivedatawarehousewithapachekudu-191205153017-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Apache Kudu is an open source data storage engine that makes fast analytics on fast and changing data easy. In this presentation, Grant Henke from Cloudera will provide an overview of what Kudu is, how it works, and how it makes building an active data warehouse for real time analytics easy. Drawing on experiences from some of our largest deployments, this talk will also include an overview of common Kudu use cases and patterns. Additionally, some of the newest Kudu features and what is coming next will be covered.
Enabling the Active Data Warehouse with Apache Kudu from Grant Henke
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Decoupling Decisions with Apache Kafka /slideshow/decoupling-decisions-with-apache-kafka/65326203 decoupling-decisions-with-apache-kafka-160824163049
Whether you are developing a greenfield data project or migrating a legacy system, there are many critical design decisions to be made. Often, it is advantageous to not only consider immediate requirements, but also the future requirements and technologies you may want to support. Your project may start out supporting batch analytics with the vision of adding real­time support. Or your data pipeline may feed data to one technology today, but tomorrow an entirely new system needs to be integrated. Apache Kafka can help decouple these decisions and provide a flexible core to your data architecture. This talk will show how building Kafka into your pipeline can provide the flexibility to experiment, evolve and grow. It will also cover a brief overview of Kafka, its architecture, and terminology.]]>

Whether you are developing a greenfield data project or migrating a legacy system, there are many critical design decisions to be made. Often, it is advantageous to not only consider immediate requirements, but also the future requirements and technologies you may want to support. Your project may start out supporting batch analytics with the vision of adding real­time support. Or your data pipeline may feed data to one technology today, but tomorrow an entirely new system needs to be integrated. Apache Kafka can help decouple these decisions and provide a flexible core to your data architecture. This talk will show how building Kafka into your pipeline can provide the flexibility to experiment, evolve and grow. It will also cover a brief overview of Kafka, its architecture, and terminology.]]>
Wed, 24 Aug 2016 16:30:49 GMT /slideshow/decoupling-decisions-with-apache-kafka/65326203 granthenke@slideshare.net(granthenke) Decoupling Decisions with Apache Kafka granthenke Whether you are developing a greenfield data project or migrating a legacy system, there are many critical design decisions to be made. Often, it is advantageous to not only consider immediate requirements, but also the future requirements and technologies you may want to support. Your project may start out supporting batch analytics with the vision of adding real­time support. Or your data pipeline may feed data to one technology today, but tomorrow an entirely new system needs to be integrated. Apache Kafka can help decouple these decisions and provide a flexible core to your data architecture. This talk will show how building Kafka into your pipeline can provide the flexibility to experiment, evolve and grow. It will also cover a brief overview of Kafka, its architecture, and terminology. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/decoupling-decisions-with-apache-kafka-160824163049-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Whether you are developing a greenfield data project or migrating a legacy system, there are many critical design decisions to be made. Often, it is advantageous to not only consider immediate requirements, but also the future requirements and technologies you may want to support. Your project may start out supporting batch analytics with the vision of adding real­time support. Or your data pipeline may feed data to one technology today, but tomorrow an entirely new system needs to be integrated. Apache Kafka can help decouple these decisions and provide a flexible core to your data architecture. This talk will show how building Kafka into your pipeline can provide the flexibility to experiment, evolve and grow. It will also cover a brief overview of Kafka, its architecture, and terminology.
Decoupling Decisions with Apache Kafka from Grant Henke
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https://cdn.slidesharecdn.com/profile-photo-granthenke-48x48.jpg?cb=1575559104 I’m a software engineer with a broad spectrum of interests. The challenge of taking a concept that is complex, tedious and valuable and creating a solution that is simple, fast and enjoyable is what drives me. I would consider myself a "Jack of all trades" kind of guy but have had most of my experience in "Web Application" and "Big Data" development. I can’t get enough of learning about new concepts and tools especially in the accelerating and expanding realm of open source software. I have developed and deployed multiple applications based on both proprietary and open source frameworks. I adapt quickly to new teams, frameworks, and code bases. I strive to quickly gain deep knowledge an... http://www.granthenke.com https://cdn.slidesharecdn.com/ss_thumbnails/enablingtheactivedatawarehousewithapachekudu-191205153017-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/enabling-the-active-data-warehouse-with-apache-kudu/201919012 Enabling the Active Da... https://cdn.slidesharecdn.com/ss_thumbnails/decoupling-decisions-with-apache-kafka-160824163049-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/decoupling-decisions-with-apache-kafka/65326203 Decoupling Decisions w...