Spark

Big-data Spark Training

Learn Big Data Spark at Prestige Point, best institute for Spark Training in Indore.

• SPARK
  • Introduction of Big Data
  • Introduction to Spark
  • Motivation for Spark
  • Spark Vs Map Reduce Processing
  • Architecture Of Spark
  • Spark Shell Introduction
  • Real time Examples of Spark

• MapReduce
  • Why Map Reduce is essential in Hadoop?
  • Processing Daemons of Hadoop
  • Node Manager
  • Resource Manager
  • Job
  • Task
  • Keys and Values
  • Mapreduce Flow
  • Wordcount example
  • Map abstraction
  • Mapper
  • Reduce abstraction
  • Reducer
  • Map only job
  • Combiner
  • Data locality
  • Anatomy of MapReduce
  • Hadoop Data types
  • Input files
  • Hdfs Blocks
  • Input format
  • Input split
  • InputSplits and
  • Records
  • InputSplits and Blocks
  • Record reader
  • Partitioner
  • Shuffling
  • Sorting
  • OutputFormat

• Resilient Distributed Dataset
  • What is RDD and why it is important in Spark
  • Transformation in RDD
  • Actions in RDD
  • Loading Data through RDD
  • Saving Data
  • Key-Value pair RDD
  • Pair RDD operations

• Spark SQL
  • Introduction to Spark SQL
  • The SQL Context
  • Hive Vs Spark SQL
  • Spark SQL support for Text Files, Parquet and JSON files
  • Data Frames
  • Real Time examples of Spark SQL
  • Spark Streaming
  • Introduction to Spark Streaming
  • Architecture of Spark Streaming
  • Spark Streaming Vs Flume
  • Introduction to Kafka
  • Spark Streaming Integration with Kafka Overview
  • Real Time examples of Spark Streaming & Kafka

• Spark Mllib

• GraphX

• Project:
  • WordCount FIle analysis using Spark

Explore more courses in Big Data at Prestige Point, best institute for Spark Training in Indore

Big Data – Hadoop