Advanced Big Data Professional (ABDP)

The worldwide revenue for Big Data and Data Analytics is expected to grow to more than $203 Billion in 2020. Banking specifically will see the fastest spending growth, and industries such as telecommunications, insurance, transportation, and utilities will also start to increase their own spending during this same period, helping to fuel growth.

Together with an increase interest and investment in AI, new tools for collecting and analysing data and new enterprise roles and responsibilities will emerge presenting IT professionals and individuals planning to pursue a career in Big Data and Data Analytics with tremendous career opportunities. This can never be a better time to acquire the necessary skills and gain proficiency in Big Data.

Upcoming Batches

  • Singapore: 22 to 25 Jan 2019, 12 to 15 Mar 2019 | Book Now
  • Bangkok, Thailand: 15 to 18 Jan 2019, 5 to 8 Mar 2019 | Book Now
  • Kuala Lumpur, Malaysia: 29 Jan to 1 Feb 2019, 19 to 22 Mar 2019  | Book Now
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.
Course Duration
32 hours / 4-Days
Course Outline
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: HADOOP DISTRIBUTED FILE SYSTEM (HDFS) and MapReduce  
  • 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
  • Hbase NoSQL Database
  • MODULE 6: HORTONWORKS & OTHER HADOOP DISTRIBUTION  
  • What is Hadoop Distribution?
  • Comparison between Hortonworks and other Hadoop Distribution
  • Case Studies
  • 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
    Pre-Requisite
    A valid Certification of Competency in Business Analytics Essential (BAE), or some basic understanding in software development is preferred
    Examination
    Participants are encouraged to attempt and pass an examination at the end of the course. This exam tests a candidate’s knowledge and skills related to Big Data on the syllabus covered in the course
    Certification
    Participants will be awarded a Certificate of Competency in Advanced Big Data Professional (ABDP) upon meeting the requirements of the course and passing the examination.
    Who Will Benefit from the Course
    This course is designed for participants who are interested in pursuing a career in the areas of Big Data. Advanced Big Data Professional (ABDP) is intended to equip you with a set of skills that you can draw on to implement the technology in your organisation. Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.