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apache spark training

Introduction To Apache Spark Training Course :

Spark was introduced by the Apache Software Foundation for speeding up the Hadoop computational computing software process. The Apache Spark is an lightning-fast cluster computing technology, which is designed for fast computation. It is based on the Hadoop MapReduce & it extends the Map-Reduce model to efficiently use it for more types of computations, which includes interactive queries & stream processing. The main feature of  the Spark is its in_memory cluster computing that increases the processing speed of the application. The Spark is designed mainly to cover the wide range of workloads such as batch applications, iterative algorithms, interactive queries & streaming. Apart from supporting all these workload in an respective system, it reduces the management burden of maintaining separate tools. Register for Apache Spark Training with Global Online Trainings.

Apache Spark Training Course Content

Invoking the Spark Shell
Loading a File in Shell
Performing Some Basic Operations on the Files in Spark Shell
Building a Spark Project with the sbt, Building & Running Spark Project with sbt
Caching Overview, Distributed Persistence
Overview of the Spark Streaming
Example: Streaming Word Count