ºÝºÝߣshows by User: SlimBaltagi / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: SlimBaltagi / Thu, 14 Apr 2016 06:39:38 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: SlimBaltagi Overview of Apache Fink: the 4 G of Big Data Analytics Frameworks /slideshow/overview-of-apache-fink-the-4-g-of-big-data-analytics-frameworks/60899590 overview-of-apache-flink-the-4g-of-big-data-analytics-framework-slim-baltagi-160414063939
ºÝºÝߣs of my talk at the Hadoop Summit Europe in Dublin, Ireland on April 13th, 2016. The talk introduces Apache Flink as both a multi-purpose Big Data analytics framework and real-world streaming analytics framework. It is focusing on Flink's key differentiators and suitability for streaming analytics use cases. It also shows how Flink enables novel use cases such as distributed CEP (Complex Event Processing) and querying the state by behaving like a key value data store. ]]>

ºÝºÝߣs of my talk at the Hadoop Summit Europe in Dublin, Ireland on April 13th, 2016. The talk introduces Apache Flink as both a multi-purpose Big Data analytics framework and real-world streaming analytics framework. It is focusing on Flink's key differentiators and suitability for streaming analytics use cases. It also shows how Flink enables novel use cases such as distributed CEP (Complex Event Processing) and querying the state by behaving like a key value data store. ]]>
Thu, 14 Apr 2016 06:39:38 GMT /slideshow/overview-of-apache-fink-the-4-g-of-big-data-analytics-frameworks/60899590 SlimBaltagi@slideshare.net(SlimBaltagi) Overview of Apache Fink: the 4 G of Big Data Analytics Frameworks SlimBaltagi ºÝºÝߣs of my talk at the Hadoop Summit Europe in Dublin, Ireland on April 13th, 2016. The talk introduces Apache Flink as both a multi-purpose Big Data analytics framework and real-world streaming analytics framework. It is focusing on Flink's key differentiators and suitability for streaming analytics use cases. It also shows how Flink enables novel use cases such as distributed CEP (Complex Event Processing) and querying the state by behaving like a key value data store. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/overview-of-apache-flink-the-4g-of-big-data-analytics-framework-slim-baltagi-160414063939-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs of my talk at the Hadoop Summit Europe in Dublin, Ireland on April 13th, 2016. The talk introduces Apache Flink as both a multi-purpose Big Data analytics framework and real-world streaming analytics framework. It is focusing on Flink&#39;s key differentiators and suitability for streaming analytics use cases. It also shows how Flink enables novel use cases such as distributed CEP (Complex Event Processing) and querying the state by behaving like a key value data store.
Overview of Apache Fink: the 4 G of Big Data Analytics Frameworks from Slim Baltagi
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https://cdn.slidesharecdn.com/profile-photo-SlimBaltagi-48x48.jpg?cb=1589707324 • IT leader with extensive Big Data experience as Director/Architect/Engineer delivering end-to-end Big Data/Fast Data projects from solution architecture to production. • Speaker at many Big Data conferences and meetups: top presentations on slideshare.net when searching for Spark, Hadoop or Flink and over 215,000 views of my slides at http://www.slideshare.net/sbaltagi and videos http://goo.gl/gGiyMi • Maintainer of SparkBigData.com, a Big Data Knowledge Base for open source projects such as Kafka, Spark, Hadoop, Flink, AWS, ... with over 7,000 monthly visits https://www.meetup.com/NYCRealTimeStreamingAnalytics/