Thanks to all of you who voted for my proposal to the 2016 Hadoop Summit that is titled: “Analysis of major trends in Big Data analytics”. With the most votes in 'The Future of Hadoop' track, my proposal is a Community Choice Winner and was automatically added to the agenda!
This is the video recording of the related talk that I gave in San Jose on June 28, 2016.
These are the slides of the related talk that I gave in San Jose on June 28, 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. Portability between Big Data Execution Engines
2. Emergence of stream analytics
3. In-Memory analytics
4. Rapid Application Development of Big Data applications
5. Open sourcing Machine Learning systems by tech giants
6. Hybrid Cloud Computing