solid state training solution

Big Data Analytics on Hadoop Training Course 

Monday, February 23, 2026
Category:Data Management & Business Intelligence
3 Days Dubai 9:00am – 4:00pm

Introduction

Hadoop is an Apache development that stores and processes Big Data. Hadoop stores big data in a dispersed manner, and its tools are also used to perform parallel data processing over HDFS (Hadoop Distributed File Systems). Therefore, becoming a professional in Big Data Analytics on Hadoop will be of utmost use to any professional in the field of Big Data. Organisations have realised the benefits of Big Data Analytics and there is now a huge demand for Big Data and Hadoop professionals.

This Solid State Training’s Big Data Hadoop training course will empower you with the in-depth knowledge and level of training professionals require for Big Data Hadoop certifications as well as to perform Big Data management tasks efficiently.

Objectives

Upon completing this Big Data Hadoop training course successfully, participants will be able to:

  • Understand Big Data Hadoop
  • Be proficient with Hadoop, HDFS, Map Reduce, Sqoop, Impala, Apache Pig, Hive and ZooKeeper
  • Sit for Big Data Hadoop certification examinations
  • Gain real-world skills required for Big Data roles in IT companies
  • Learn the fundamentals of Hadoop and YARN and write programs using them
  • Set up pseudo-node and multi-node clusters on Amazon EC2 HDFS, MapReduce, Hive, Pig, Oozie, Sqoop, Flume, ZooKeeper and HBase
  • Perform Hadoop administration activities like cluster managing, monitoring, administration and troubleshooting
  • Configure ETL tools like Pentaho/Talend to work with MapReduce, Hive, Pig, etc.
  • Use Hadoop testing applications using MRUnit and other automation tools
  • Carry out real projects using Hadoop and Apache Spark
  • Gain in-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce
  • Understand the capability to ingest data in HDFS using Sqoop & Flume, and analyse large datasets stored in the HDFS
  • Study projects which are diverse in nature covering various data sets from multiple domains such as banking, telecommunication, social media, insurance, and e-commerce
  • Benefit from learning with a Hadoop expert throughout the program to learn industry standards and best practices

Training Methodology

This is an interactive Big Data Hadoop training program and will consist of the following training approaches: Lectures, Seminars & Presentations, Group Discussions, Assignments, Case Studies & Functional Exercises. Similar to all our courses, this program also follows the ‘Do-Review-Learn-Apply’ model.

Organizational Impact

Companies who send in their employees to participate in this Big Data Hadoop course can benefit in the following ways:

  • Give your employees the ability to manage large data volumes using the latest tools
  • Provide your workforce with flexible and cost-effective professional development opportunities
  • Analyse case studies in this domain and be able to apply successful techniques in your organisation
  • Comprehend the principles and practice of Big Data and the context in which this operates

Personal Impact

Professionals who participate in this Big Data Hadoop training course can benefit in the following ways:

  • Be up and running in the most demanding professional skills
  • Progress in your career in the Big Data domain
  • Benefit from a structured training with the latest curriculum as per current industry requirements and best practices
  • Work on numerous practical Big Data projects using different Big Data and Hadoop tools
  • Obtain the guidance of a Hadoop expert who is currently working in the industry on real-world Big Data projects and troubleshooting day-to-day challenges while implementing them
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This Big Data Hadoop training course would be suitable and useful for: Senior IT Professionals, Testing professionals, Mainframe professionals, Software Architects, Programming Developers and System Administrators, Experienced working professionals and Project Managers, Business Intelligence, Data Warehousing and Analytics Professionals, ETL and Data Warehousing Professionals, Data Engineers, Data Analysts & Business Intelligence Professionals, Database Administrators and other DB professionals.