Spark

prestige
Programming
  • 0 lessons
  • 0 quizzes
  • 10 week duration

Big-data Spark Training

 

  • 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

 

 

 

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