Apache Spark Online Training

Apache Spark Online Training

Enroll for Expert Level Online Spark Training Learn Apache Spark Training Course with Certified Experts. Enroll today demo for free & you will find Spiritsofts is the best online training Institute within reasonable fee, updated course material.

Spiritsofts is the best Training Institute to expand your skills and knowledge. We Provides the best learning Environment. Obtain all the training by our expert professionals which is having working experience from Top IT companies.

The Institute is continuously upgrading and updating along with the current industry needs.

Live Interaction with Trainer. The Training in is every thing we explained based on real time scenarios,it works which we do in companies.

Experts Training sessions will absolutely help you to get in-depth knowledge on the subject.

Key FeaturesCourse ContentFAQs
 40 hours of Instructor Training Classes                            24/7 Support

 Lifetime Access to Recorded Sessions                              Practical Approach

 Real World use cases and Scenarios                                 Expert & Certified Trainers

Introduction To Big Data And Spark

Learn how to apply data science techniques using parallel programming during Spark training, to explore big (and small) data.

  • Introduction to Big Data
  • Challenges with Big Data
  • Batch Vs. Real Time Big Data Analytics
  • Batch Analytics – Hadoop Ecosystem Overview
  • Real Time Analytics Options
  • Streaming Data – Storm
  • In Memory Data – Spark
  • What is Spark?
  • Modes of Spark
  • Spark Installation Demo
  • Overview of Spark on a cluster
  • Spark Standalone Cluster
Spark Baby Steps

Learn how to invoke spark shell, build spark project with sbt, distributed persistence and much more…in this module.

  • Invoking Spark Shell
  • Creating the Spark Context
  • Loading a File in Shell
  • Performing Some Basic Operations on Files in Spark Shell
  • Building a Spark Project with sbt
  • Running Spark Project with sbt
  • Caching Overview
  • Distributed Persistence
  • Spark Streaming Overview
  • Example: Streaming Word Count
Playing With RDDs In Spark

The main abstraction Spark provides is a resilient distributed dataset (RDD), which is a collection of elements partitioned across the nodes of the cluster that can be operated on in parallel.

  • RDDs
  • Spark Transformations in RDD
  • Actions in RDD
  • Loading Data in RDD
  • Saving Data through RDD
  • Spark Key-Value Pair RDD
  • Map Reduce and Pair RDD Operations in Spark
  • Scala and Hadoop Integration Hands on
Shark – When Spark Meets Hive

Shark is a component of Spark, an open source, distributed and fault-tolerant, in-memory analytics system, that can be installed on the same cluster as Hadoop. This module of spark training, will give insights about Shark.

  • Why Shark?
  • Installing Shark
  • Running Shark
  • Loading of Data
  • Hive Queries through Spark
  • Testing Tips in Scala
  • Performance Tuning Tips in Spark
  • Shared Variables: Broadcast Variables
  • Shared Variables: Accumulators

 

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