Blue Flower

 

Hello

I'd like to invite you to vote for my proposal to the 2016 Hadoop Summit  that is titled: “Analysis of major trends in Big Data analytics”.  Your vote will help my proposal win the "Community Choice" of "The Future of Apache Hadoop” track of the 2016 Hadoop Summit and be automatically included in the agenda. Please visit http://hadoopsummit.uservoice.com/forums/344967-future-of-apache-hadoop/suggestions/11664669-analysis-of-major-trends-in-big-data-analytics click on 'Vote', enter your email. Done in less than 30 seconds!  Please note that the vote ends on Wednesday February 17, 2016.

Big Data is no longer synonymous with Hadoop! We are seeing newer approaches and multiple open source frameworks for Big Data analytics. More choice brings more confusion in this 'beyond Hadoop' era!

This talk analyzes such evolution while focusing on a few key Big Data trends and related leading open source projects:

  1. Emergence of Multi-purpose Big Data analytics frameworks such as Apache Spark and Apache Flink
  2. Movement from Big Data to Fast Data or the world beyond batch
  3. Alternatives to Apache Storm for Real-Time stream processing such as Apache Flink
  4. In-Memory analytics
  5. Rapid Application Development of Big Data applications
  6. Convergence of Machine learning and open source
  7. Development and deployment of Big Data applications in a hybrid model: on-premise and on the cloud

Please visit http://hadoopsummit.uservoice.com/forums/344967-future-of-apache-hadoop/suggestions/11664669-analysis-of-major-trends-in-big-data-analytics click on 'Vote', enter your email. Done in less than 30 seconds!  Please note that the vote ends on Wednesday February 17, 2016.

Thanks in advance

 

Slim Baltagi