Advanced Big Data Professional (ABDP)

Course Information
  • Duration: 4-Day / 32 Hours
  • Who Should Attend: Advanced Big Data Professional (ABDP)is designed for anyone who have little or no understanding, knowledge of, or experience in Big Data and would like the opportunity to learn in a supportive and encouraging environment.
Course Objective

Advanced Big Data Professional (ABDP) is designed for Professionals and Anyone interested in acquiring advanced knowledge and skills on how to use Hadoop in Big Data to identify correlation and causation statistically valid models as part of their organisation strategic decision making and planning.

Pre-Requisite

NA .

Examination

Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Big Data based on the syllabus covered.

Certification

Participants will be awarded a Certificate of Competency and recognized as a Advanced Big Data Professional (abdp) upon meeting the requirements and passing the examination.


Module 1 FUNDAMENTALS ON DATA TYPES & RDBMS CONCEPTS
  • Data Types & RDBMS Concepts
  • Structured Query Language – SQL Basics s
  • Data Warehousing Concepts
  • Data Modeling Concepts
  • Unix Commands

  • Module 2 INTRODUCTION TO BIG DATA AND HADOOP
  • Introduction to Big Data and Hadoop
  • Hadoop Architecture
  • Hadoop Deployment
  • Hadoop Troubleshooting

  • Module 3 INTRODUCTION TO BIG DATA AND HADOOP
  • Introduction to Hadoop Distributed File System (HDFS)
  • Introduction to MapReduce

  • Module 4 UNDERSTANDING APACHE PIG AND APACHE HIVE
  • What is Apache Pig?
  • Pig Scripting for Dataflow
  • Understanding Apache Hive
  • Apache Hive – Hive Query Language

  • Module 5 FUNDAMENTALS OF NoSQL
  • Introduction to NoSQL
  • Concepts of NoSQL<'li>
  • Hbase NoSQL Database

  • Module 6 HORTONWORKS & OTHER HADOOP DISTRIBUTION
  • What is Hadoop Distribution?Comparison between Hortonworks and other Hadoop Distribution

  • Module 7 DATA MOVEMENT IN BIG DATA
  • Data Movement in Big Data
  • Introduction to Apache Sqoop
  • Introduction to Apache Flume

  • Module 8 BIG DATA ECOSYSTEM AND ITS COMPONENTS
  • Understanding the Big Data Ecosystem
  • Key components in a Big Data Ecosystem


  • Advanced Big Data Professional (ABDP) involves rigorous usage of real-time case studies, hands-on exercises and group discussions