Spark Tutorial

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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