Training on Mastering Big Data Analytics with Hadoop
Master Big Data Analytics with Hadoop. Learn to process and analyze massive datasets using Hadoop and its ecosystem.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
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
What you'll walk away with
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.
What we cover, module by module
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
- Case Study: Leveraging Hadoop to manage large-scale customer data in a telecom company
- Practical: Install and configure a basic Hadoop environment (local or pseudo-distributed mode)
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
- Case Study: Processing large log files using HDFS and MapReduce for performance analysis
- Practical: Upload data to HDFS and execute a simple MapReduce job
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
- Case Study: Using Hive to generate business reports from large datasets
- Practical: Query datasets using HiveQL and process data with 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
- Case Study: Implementing HBase for real-time data storage in an e-commerce platform
- Practical: Create tables, insert, and retrieve data in HBase
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
- Case Study: End-to-end big data pipeline for data ingestion, processing, and reporting
- Practical: Design a simple big data architecture and simulate data ingestion and workflow management
Where the change lands
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.
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Build a team with Hadoop expertise to uncover trends, support innovation, and strengthen competitive position.
Personal Impact
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Acquire in-demand skills essential for careers in big data, data science, or technical leadership.
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Advance into specialized roles in big data engineering or analytics.
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Contribute directly to organizational success with advanced data insights.
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Gain confidence and authority to lead and champion big data initiatives.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
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For corporate teams
Training 10+ professionals?
We deliver Training on Mastering Big Data Analytics with Hadoop in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.