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Big data analysis with Apache Spark
Submitted by Madhukara Phatak (@phatak-dev) on Wednesday, 6 May 2015
Section: Workshop Technical level: Beginner
Apache Spark is a new upcoming big data processing engine. It’s getting popular for it’s of ease of use and it’s unification of different big data work load. The objective this workshop is to get your hands dirty with it.
We will go over the following in the workshop
- Evolution of Big data systems
- Why Apache Spark?
- Apache Spark architecture
- Installing Spark
- Working with Spark REPL
- Working with RDD’s
- RDD Map/Reduce
- RDD examples in Scala
- Using Spark for streaming data
- Spark SQL
- General Programming Knowledge
- General knowledge on big data systems like Hadoop
Need a laptop with Spark installed. I will share specific steps for installation near to the workshop.
Madhukara phatatak is a Bigdata consultant @ Datamantra. He has been actively working in Hadoop,Spark and its ecosystem projects from last 5 years.
He was lead developer of Nectar, a ML library for hadoop.He also contributed to hadoop source code to improve cyclic checks in Jobcontrol api.With raise of Apache Spark, he with his team has open sourced courseera machine learning course examples on spark here. He blogs on spark here. Also he runs a Spark meetup group in Bangalore.