Spark Training in Chennai

Spark Training in Chennai

spark training in chennaiLooking for best Spark Training in Chennai, FITA no 1 Hadoop Training Institute in Chennai offering professional training by data experts. Call +91 9841746595

Apace Spark is created for in-memory computing for lightning speed processing of applications. Apache Spark is basically a processing engine built with the objective of quicker processing, ease of use and better analytics. Spark is a better alternative to Map Reduce where large amount of data can be processed with much lower latency than Map Reduce. Apache Spark supports Java, Python APIs and Scala unlike Map Reduce that supports only Java.

Spark can access diverse data sources like Amazon S3, No SQL databases like Cassandra, HBase and Hadoop Distributed File System.

Course Objective

Students will:

Understand purpose of using Spark
Use Resilient Distributed Datasets operations
Use Java to create and run a Spark applications practically
Create applications using Spark SQL, MLlib, Spark Streaming and GraphX
Configure Spark Applications
Monitor Spark Applications
Tune Spark Applications

Prerequisite

Good understanding of Hadoop Fundamentals is needed. Please talk to our Student counselor to customize Spark Training in Chennai with Hadoop Fundamentals if you are new to Hadoop

Target Audience

Spark training intended for anyone who aspires to get into the field of Big Data and lightning speed processing of Big Data

Big Data and Hadoop Enthusiasts

Software Architects, Engineers and Developers with background in any programming languages like Java, Dot Net, PHP, Python or Scala

Data Scientists and Analytics Professionals

Course Agenda

Module 1: Getting Familiar with Spark

  • Apache Spark in Big Data Landscape and purpose of Spark
  • Apache Spark vs. Apache MapReduce
  • Components of Spark Stack
  • Downloading and installing Spark
  • Launch Spark

Module 2: Working with Resilient Distributed Dataset (RDD)

  • Transformations and Actions in RDD
  • Loading and Saving Data in RDD
  • Key-Value Pair RDD
  • MapReduce and Pair RDD Operations
  • Playing with Sequence Files
  • Using Partitioner and its impact on performance improvement

Module 3: Spark Application Programming

  • Master SparkContext
  • Initialize Spark with Java
  • Create and Run Real time Project with Spark
  • Pass functions to Spark
  • Submit Spark applications to the cluster

Module 4: Spark Libraries
Module 5: Spark configuration, monitoring, and tuning

  • Understand various components of Spark cluster
  • Configure Spark to modify
    • Spark properties
    • environmental variables
    • logging properties
  • Visualizing Jobs and DAGs
  • Monitor Spark using the web UIs, metrics, and external instrumentation
  • Understand performance tuning requirements

Module 6: Spark Streaming

  • Understanding the Streaming Architecture – DStreams and RDD batches
  • Receivers
  • Common transformations and actions on DStreams

Module 7: MLlib and GraphX

Spark Documentation and Resources

FITA is leading Spark Training Institute in Chennai offering training on Spark and Hadoop – trainings are offered by experienced Hadoop data scientists. Call Us @ 98417-46595 to know more about spark training.

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