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What You'll Learn

Master Big Data Analytics with Hadoop. Learn to process and analyze massive datasets using Hadoop and its ecosystem.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 5-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Mastering Big Data Analytics with Hadoop - Course Cover Image
Duration 5 Days
Level Intermediate
Format In-Person

Course Overview

Featured

This course provides a comprehensive introduction to big data analytics using the Hadoop framework. Participants will learn how to handle large volumes of data, perform data analysis, and gain insights using Hadoop's powerful ecosystem. The course covers essential components like HDFS, MapReduce, Hive, Pig, and HBase, and provides hands-on experience with data processing, storage, and analysis. By the end of the course, participants will be equipped with the skills needed to design and implement big data solutions that drive business decisions.

Course Duration

5 Days

Who Should Attend

  • Data Analysts and Scientists
  • IT Professionals and Developers
  • Database Administrators
  • Business Intelligence Professionals
  • Anyone interested in big data and Hadoop

Course Impact

Organizational Impact

  • Enhance the organization’s ability to process and analyze large volumes of data for deeper insights.

  • Improve strategic decision-making through a scalable, cost-effective big data framework.

  • Build a team with Hadoop expertise to uncover trends, support innovation, and strengthen competitive position.

Personal Impact

  • Acquire in-demand skills essential for careers in big data, data science, or technical leadership.

  • Advance into specialized roles in big data engineering or analytics.

  • Contribute directly to organizational success with advanced data insights.

  • Gain confidence and authority to lead and champion big data initiatives.

Course Objectives

By the end of this course, participants will be able to:

  • Understand the fundamentals of big data and the Hadoop ecosystem.
  • Learn how to store and process big data using Hadoop Distributed File System (HDFS) and MapReduce.
  • Gain proficiency in querying large datasets using Hive and Pig.
  • Explore NoSQL databases like HBase for handling unstructured data.
  • Implement real-world big data solutions using Hadoop tools and techniques.

Course Outline

Module 1: Introduction to Big Data and Hadoop

  • Overview of Big Data concepts and challenges
  • Introduction to the Hadoop ecosystem
  • Hadoop architecture and components
  • Setting up a Hadoop environment

Module 2: Hadoop Distributed File System (HDFS) and MapReduce

  • Understanding HDFS architecture and operations
  • Data storage in HDFS
  • Introduction to MapReduce programming model
  • Writing and running MapReduce jobs

Module 3: Data Processing with Hive and Pig

  • Introduction to Hive: Data warehousing on Hadoop
  • HiveQL: Querying data with SQL-like syntax
  • Introduction to Pig: Data flow language for Hadoop
  • Writing and executing Pig scripts

Module 4: NoSQL Databases and HBase

  • Introduction to NoSQL databases
  • HBase architecture and use cases
  • Managing and querying data in HBase
  • Integrating HBase with Hadoop for real-time data processing

Module 5: Advanced Topics and Real-World Applications

  • Data ingestion and ETL processes with Hadoop
  • Hadoop ecosystem tools: Sqoop, Flume, and Oozie
  • Case studies of big data applications using Hadoop
  • Best practices for designing big data solutions

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 9 Jan 2026 5 days Nairobi, Kenya KES 99,000 | USD 1,400 Enroll Now
5 Jan - 9 Jan 2026 5 days Cape Town, South Africa USD 3,500 Enroll Now
5 Jan - 9 Jan 2026 5 days Dubai, United Arabs Emirates USD 4,000 Enroll Now
5 Jan - 9 Jan 2026 5 days Zanzibar, Tanzania USD 2,200 Enroll Now
12 Jan - 16 Jan 2026 5 days Mombasa, Kenya KES 115,000 | USD 1,500 Enroll Now
12 Jan - 16 Jan 2026 5 days Kigali, Rwanda USD 1,800 Enroll Now
12 Jan - 16 Jan 2026 5 days Accra, Ghana USD 5,950 Enroll Now
12 Jan - 16 Jan 2026 5 days Kampala, Uganda USD 2,200 Enroll Now
19 Jan - 23 Jan 2026 5 days Dar es Salaam, Tanzania USD 2,000 Enroll Now
19 Jan - 23 Jan 2026 5 days Johannesburg, South Africa USD 3,100 Enroll Now
19 Jan - 23 Jan 2026 5 days Nakuru, Kenya KES 105,000 | USD 1,400 Enroll Now
19 Jan - 23 Jan 2026 5 days Dakar, Senegal USD 3,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Pretoria, South Africa USD 3,100 Enroll Now
26 Jan - 30 Jan 2026 5 days Kisumu, Kenya KES 105,000 | USD 1,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Naivasha, Kenya KES 105,000 | USD 1,400 Enroll Now
26 Jan - 30 Jan 2026 5 days Arusha, Tanzania USD 2,000 Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 99,000
USD 1,400
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 3,500
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 4,000
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 2,200
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 115,000
USD 1,500
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 1,800
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 5,950
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 2,200
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 3,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to equip you with the skills to use Hadoop and its ecosystem to effectively store, process, and analyze massive volumes of unstructured and structured big data.
It is the practice of using Hadoop's distributed computing framework to find patterns and insights in datasets that are too large or complex for traditional data processing tools.
You'll learn about the Hadoop Distributed File System (HDFS) for storage, MapReduce for processing, and the role of YARN for resource management.
Hadoop uses a distributed computing model, breaking down large datasets into smaller chunks and processing them in parallel across a cluster of computers, enabling massive scalability.
You can apply Hadoop to analyze customer behavior for personalized marketing, process sensor data from IoT devices, and detect fraud in real-time.
Training on Mastering Big Data Analytics with Hadoop

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