Demystifying Big Data with Scala and Akka
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The document discusses big data computation technology and analysis using Scala. It covers the growth of big data, challenges with computing large amounts of data, and alternatives to batch processing like Hadoop. It then focuses on using Scala and Akka for big data projects due to their support for concurrency, parallelism and real-time processing. The document concludes that there are now multiple real-time alternatives beyond Hadoop for big data and that Scala and Akka are facilitating growth in this area.
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Demystifying Big Data with Scala and Akka
- 1. Big Data Computation Technology And Analysis With Scala Vikas Hazrati, Knoldus Software LLP Big Data Innovation Conference (c)
- 2. About Me CTO at Knoldus Software Writing a book titled âBuilding performant and concurrent systems with Scala and Akkaâ Working with Scala and Big Data for the last 3 years Big Data Innovation Conference (c)
- 3. what? Add content Big Data Innovation Conference (c) 2011 - 1.8 zettabytes (1.8 trillion gigabytes) big-data market is expected to grow from US$3.2 billion in 2010 to US$16.9 billion in 2015
- 4. Big Data Innovation Conference (c) Lot of data Lot of compute Long time to compute it so what?
- 5. About Me Big Data Innovation Conference (c)
- 6. hadoop Big Data Innovation Conference (c) Batch processing, non interactive X real time
- 7. alternates Big Data Innovation Conference (c) Lucene CEP NoSQL Combination of parallel processing
- 8. to build it :-{ Difficult! Domain + Language + Performance Big Data Innovation Conference (c)
- 9. to build it :-{ Domain Expertise Language Expertise Performance Expertise Big Data Innovation Conference (c)
- 10. to build it :-{ Domain Expertise Language Expertise Performance Expertise Big Data Innovation Conference (c)
- 11. scala Add content Big Data Innovation Conference (c)
- 13. Big Data Innovation Conference (c)
- 15. actor message passing Add content Big Data Innovation Conference (c)
- 16. actor message passing Add content Big Data Innovation Conference (c)
- 22. Delite DSL for Heterogenous Parallel Architectures Big Data Innovation Conference (c)
- 25. decooda liquid data platform Big Data Innovation Conference (c)
- 26. Real time parallel execution Big Data Innovation Conference (c)
- 27. Big Data Innovation Conference (c)
- 28. Big Data Innovation Conference (c)
- 29. conclusions Big Data Innovation Conference (c) Multiple real time alternatives beyond Hadoop Scala and Akka facilitating growth
- 30. vikas@knoldus.com www.knoldus.com @knolspeak fb - KnoldusSoftware Big Data Innovation Conference (c)