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Big Data Hadoop Online Certification Training Course

9999.00 INR 9999.00 INR (Excl. GST)

Big Data Hadoop Online Certification Training Course

Hadoop Training Program for beginners and professionals to master the skills and tools in the Hadoop ecosystem. Gain all the practical learnings around Hadoop Architecture, Apache PIG, Hive, SQOOP, Hbase, YARN, Impala, Apache Spark with Scala, and OOZIE that will help you qualify the competent Hadoop Certifications and make your career a demanding one.

Course Information

  • Instructor Led Live Classes
  • Resume and Interview Guidance
  • 100% Job Placement Assistance
  • Industry-recognized Certification
  • Comprehensive Curriculum
  • Real Life Case Studies & Assignments

      • Course Content

    • Hadoop Architecture, HDFS and MapReduce

      • Introduction to BIGDATA and HADOOP.
      • Relation between Big Data and Hadoop.
      • What is the need of going ahead with Hadoop?
      • Scenarios to apt Hadoop Technology in REAL TIME Projects.
      • How Hadoop is addressing Big Data Changes
      • Importance of Hadoop Ecosystem Components
      • What is HDFS (Hadoop Distributed File System).
      • HDFS Architecture - 5 Daemons of Hadoop
      • Replication in Hadoop - Fail Over Mechanism
      • Hadoop Cluster Setup and JDK Installation.
      • Why is Map Reduce is essential in Hadoop?
      • MapReduce and drawbacks w.r.to Task Tracker Failure in Hadoop Cluster.
      • Map Reduce Life Cycle & Communication Mechanism of Job Tracker & Task Tracker

    • Unix Shell & Apache Pig Installation & HIVE Installation & User Defined Functions

      • Unix Shell & Apache Pig Installation
        • How to write a basic Map Reduce Program
        • Compression Techniques in Map Reduce
        • Unix Shell Scripting Basics and commands.
        • How Unix shell used in hadoop
        • PIG Installation (Hands on Installation on Laptops)
        • Introduction to Apache Pig
        • Map Reduce Vs Apache Pig
        • Where to Use Map Reduce and PIG in REAL Time Hadoop Projects
        • How to write a simple pig script
        • Parameter substitution in PIG Scripts
        • How to develop the Complex Pig Script
        • Bags , Tuples and fields in PIG
      • HIVE Installation & User Defined Functions
        • HIVE Installation(Hands on Installation on Laptops)
        • Local Mode & Clustered Mode
        • Hive Introduction and need of Apache HIVE in Hadoop
        • When to choose PIG & HIVE in REAL Time Project
        • Importance Of Hive Meta Store.
        • Communication mechanism with Metastore.
        • Hive Integration with Hadoop & Hive Query Language(Hive QL)
        • SQL VS Hive QL, Data Slicing Mechanisms and Partitions In Hive
        • Partitioning Vs Bucketing
        • Collection Data Types in HIVE
        • User Defined Functions(UDFs) in HIVE
        • UDFs, UDAFs, UDTFs and need of UDFs in HIVE
        • Hive Serializer/Deserializer - SerDe
        • Semi Structured Data Processing Using Hive(XML/JSON)
        • HIVE - HBASE Integration

    • SQOOP & Hbase Installation & YARN Architecture, Impala & Apache Spark With Scala

      • SQOOP & Hbase Installation
        • Sqoop installation with MySQL Client
        • Introduction to Sqoop.
        • MySQL client and Server Installation
        • How to connect to Relational Database using Sqoop
        • Different Sqoop Commands
        • Hive-Imports, Incremental import,
        • import all table and import using password on file
        • Hbase introduction and HDFS Vs Hbase
        • Hbase Data modeling Elements
        • Hbase Architecture & Clients(REST,Thrift,Java Based,Avro)
        • MongoDB basics & Introduction to MongoDB
        • Features of MongoDB
        • REAL Time Use Cases on Hadoop & MongoDB Use Cases
      • YARN Architecture, Impala & Apache Spark With Scala
        • What is YARN?
        • Difference between Map Reduce & YARN
        • YARN Architecture(Resource Manager,Application Master,Node Manager),
        • When should we go ahead with YARN
        • YARN Process flow and Web UI
        • Different Configuration Files for YARN.
        • What is Impala? & How can we use Impala for Query Processing?
        • When should we go ahead with Impala
        • HIVE Vs Impala
        • Real time Use Cases with Impala.
        • Interactive Scala - Scala Shell
        • Functional Programing in Scala
        • What is Functional Programming
        • Difference between Object Oriented and Functional
        • Flume Master , Flume Collector and Flume Agent
        • Real Time Use Case using Apache Flume.

    • Apache OOZIE and Spark

      • Oozie Introduction, Oozie Architecture & Job Submission
      • Spark Vs Map Reduce Processing
      • File Operations in Spark Shell.
      • Introduction to Spark Components.
      • What is RDD and why it is important in Spark
      • Core Features of RDD & Lazily Evaluated
      • Different Operation on RDDs
      • Actions and Transformation in RDD
      • Running Spark in a Clustered Mode.
      • Introduction to Spark SQL
      • The SQL Context, Hive Vs Spark SQL
      • Introduction to Data Frames [ Dfs ]

    Big Data Hadoop Certification

    Achieve your professional goals with job-oriented Hadoop Certification. It's time to get your certification!

    Online Course Certification