Big Data For Programmers Workshop | Integra Soft Lab
Big Data For Programmers Workshop


The Big Data Hadoop designer course have been intended to grant a top to bottom information on Big Data handling utilizing Hadoop and Spark and Data Science.


  • Comprehend the various parts of Hadoop environment, for example, Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
  • Addition information on Hadoop Distributed File System (HDFS) and YARN just as their engineering, and figure out how to work with them for capacity and asset the board
  • Comprehend MapReduce and its qualities, and acclimatize some progressed MapReduce ideas
  • Get a review of Sqoop and Flume and depict how to ingest information utilizing them
  • Comprehend various sorts of record groups, Avro Schema, utilizing Arvo with Hive, and Sqoop and Schema advancement
  • Become more acquainted with about HBase, its engineering, information stockpiling, and working with HBase. You will likewise comprehend the contrast among HBase and RDBMS
  • Increase a working information on Pig and its parts
  • Do practical programming in Spark
  • Comprehend flexible dispersion datasets (RDD) in detail
  • Execute and construct Spark applications
  • Comprehend the basic use-instances of Spark and the different intelligent calculations
  • Learn Spark SQL, making, changing, and questioning Data outlines



  • Introduction
  • Introduction to Big data and Hadoop Ecosystem
  • HDFS and YARN
  • MapReduce and Scoop
  • Basics of Hive and Impala
  • Types of Data Formats
  • Advanced Hive Concept and Data File Partitioning
  • Apache Flume and HBase
  • Pig/Tableau & QlikView
  • Basics of Apache Spark
  • RDDs in Spark
  • Implementation of Spark Applications
  • Spark Parallel Processing
  • Spark RDD Optimization Techniques
  • Spark Algorithm


  • 2 days Instructor - Classroom training from Certified Trainer.
  • Course materials and practice exercises for exam.
  • Course Completion certificate