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Apache Spark is an open source cluster computing framework. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation that has maintained it since. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance.
Topics Covered-
Overview
Linking with Spark
Initializing Spark
Resilient Distributed Datasets (RDDs)
Shared Variables
Deploying to a Cluster
Launching Spark jobs from Java / Scala
Unit Testing
Migrating from pre-1.0 Versions of Spark
**Disclaimer-All the content are from Apche Spark official website
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