Course Description

Designed for Analyst to help understand the Big Data. It provides an introduction to the framework, Hadoop, that has made big data analysis easier and more accessible.

John Wiley & Sons, Inc. USA

Established in 1807, Wiley is a global provider of content-enabled solutions to improve outcomes in research, education and professional practice with online tools, books, and eLearning trainings. Wiley’s strength lies in every major scientific, academic, and professional field.

Course curriculum

  • 1

    1.1 Introduction to Big Data

    • 1.1.1 Intorduction to Big Data

    • 1.1.2 Structure and Business Applications of Big Data

    • P.1.1 Introduction to Big Data Part 1

    • P.1.1 Introduction to Big Data Part 2
  • 2

    1.2 Business applications of Big Data

    • 1.2.1 Social Network Data and Its Business Impact

    • 1.2.2 Big Data and Fraud Management

    • 1.2.3 Big Data Analytics in Retail and Healthcare

    • P.1.2 Business Applications of Big Data Part 1

    • P.1.2 Business Applications of Big Data Part 2
  • 3

    1.3 Technologies for handling big data

    • 1.3.1 Technology for Handling Big Data

    • 1.3.2 Virtualization and Cloud Computing in Big Data

    • 1.3.3 Hadoop Distributed Computing Environment

    • P.1.3 Technologies for handling big data Part 1

    • P.1.3 Technologies for handling big data Part 2

    • P.1.3 Technologies for handling big data Part 3
  • 4

    1.4 Understanding the Hadoop 2 Ecosystem

    • 1.4.1 Understanding the Hadoop Ecosystem

    • 1.4.2 Storing Files in HDFS

    • P.1.4 Understanding the Hadoop 2 Ecosystem Part 1

    • P.1.4 Understanding the Hadoop 2 Ecosystem Part 2

    • P.1.4 Understanding the Hadoop 2 Ecosystem Part 3
  • 5

    1.5 Frameworks for Processing on Hadoop - MapReduce and YARN

    • 1.5.1 MapReduce Fundamentals

    • 1.5.2 HBase and Hive

    • P.1.5 Frameworks for Processing on Hadoop - MapReduce and YARN Part 1

    • P.1.5 Frameworks for Processing on Hadoop - MapReduce and YARN Part 2