FUNDAMENTALS OF BIG DATA

Description

Associations currently approach enormous measures of information and it's impacting the manner in which they work. They are acknowledging to be fruitful they should use their information to settle on successful business choices. Collective Intelligence, which utilizes the contributions from enormous gatherings to make apparently shrewd conduct AI gain as a matter of fact and refine their calculations dependent on new data.

Syllabus

Beginners

  • Unit - 1 Overview of Big Data
    • What is Big Data
    • Sources of massive data
    • Use Case
  • Unit - 2 Understanding Big Data
    • Introduction
    • Working with Big Data
    • Problems of knowledge Storage

Intermediate

  • Unit - 3 Using Big Data in Businesses
    • Retail
    • Manufacturing
    • Financial services, banking and insurance
    • Education
    • Transportation, supply chain management and logistics
    • Agriculture and farming
    • Energy
    • Government and public sector services
    • Hospitality
    • Professional services
    • Sports
  • Unit -4 Drivers for Big Data Adoption
    • Use Case
    • Data
    • Tools

ADVANCED

  • Unit - 5 Apache Hadoop
    • Microsoft HDInsight
    • NoSQL
    • Hive
    • Sqoop
    • PolyBase
    • Big data in EXCEL
    • Presto
  • Unit - 6 Big Data Adoption and Planning Considerations
    • Big Data Strategies

PROFESSIONAL

  • Unit - 7 Understanding Hadoop Ecosystem
    • Structured Data
    • Semi-Structured Data
    • Unstructured Data
    • HDFS (Hadoop Distributed File System)
    • MapReduce Framework
  • Unit - 8 Enterprise Technologies and Big Data Business Intelligence
    • What is Business Intelligence
    • Implementation of BI
    • Key Players used in BI
    • Advantages of Business Intelligence
    • Disadvantages of Business Intelligence
    • Trends in Business Intelligence
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