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HADOOP 6 WEEKS TRAINING

Big Data with Hadoop (IBM InfoSphere BigInsights) On IBM Tools

Big Data and Hadoop 6 weeks training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop 6 weeks Distributed File System, Hadoop Cluster- Single and Multi node, Hadoop 2.x, Flume, Sqoop, Map-Reduce, PIG, Hive, Hbase, Zookeeper, Oozie etc. will be covered in the course.

 SESSION 1: GRASPING THE FUNDAMENTALS OF BIG DATA

  • a. The Evolution of Data Management
  • b. Understanding the Waves of Managing Data
  • c. Defining Big Data, The Big Data Journey
  • d. Building a Successful Big Data Management Architecture

  SESSION 2 : EXAMINING BIG DATA TYPES

  • a. Defining Structured Data, Defining Unstructured Data
  • b. Looking at Real-Time and Non-Real-Time Requirement
  • c. Putting Big Data Together

  SESSION 3 : DISTRIBUTED COMPUTING

  • a. A Brief History of Distributed Computing
  • b. Understanding the Basics of Distributed Computing
  • c. Getting Performance Right
  • d. Managing Desktops and Devices in the Cloud
  • e. Service Oriented Architecture and the Cloud
  • f. Managing the Cloud Environment

  SESSION 4 : DIGGING INTO BIG DATA TECHNOLOGY COMPONENTS

  • a. Exploring the Big Data Stack
  • b. Layer 0: Redundant Physical Infrastructure
  • c. Layer 1: Security Infrastructure

  SESSION 5 : INTERFACES AND FEEDS TO AND FROM APPLICATIONS AND THE INTERNET

  • a. Operational Databases
  • b. Organizing Data Services and Tools
  • c. Analytical Data Warehouses
  • d. Big Data Analytics, Big Data Applications

  SESSION 6 : VIRTUALIZATION AND HOW IT SUPPORTS DISTRIBUTED COMPUTING

  • a. Understanding the Basics of Virtualization
  • b. Managing Virtualization with the Hypervisor
  • c. Abstraction and Virtualization

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