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Ideal Workplace Solutions
NITA AccreditedFoundationPhysical + Virtual10 daysTOBD126

Training on Big Data Management & Analytics

Learn big data technologies, analytics techniques, and data visualization to manage and analyze large datasets effectively.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

10 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Foundation

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

The rapid growth of digital data has created new opportunities for organizations to gain insights, improve decision-making, and drive innovation. Big Data technologies enable organizations to collect, store, process, and analyze massive volumes of structured and unstructured data efficiently.

This course equips participants with practical skills to manage large datasets, implement big data technologies, and perform advanced analytics for data-driven decision-making. The course introduces participants to big data architecture, data processing frameworks, data visualization, and analytical tools used in modern organizations.

Through practical exercises and real-world examples, participants will learn how to transform raw data into meaningful insights that support strategic business decisions.

Duration

10 Days

Who Should Attend

  • Data analysts and data scientists

  • IT professionals managing large data systems

  • Business intelligence specialists

  • Database administrators

  • Software developers and IT engineers

  • Professionals interested in big data technologies

Learning outcomes

What you'll walk away with

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

  • Understand big data concepts and architecture

  • Manage large-scale datasets efficiently

  • Use big data tools and frameworks for data processing

  • Apply analytics techniques to extract insights from data

  • Visualize data to support business decision-making

  • Implement data governance and security practices

Course modules

What we cover, module by module

Module 1: Introduction to Big Data Concepts

  • Understanding big data and its importance

  • The 5Vs of big data (Volume, Velocity, Variety, Veracity, Value)

  • Types of big data (structured, semi-structured, unstructured)

  • Big data ecosystem and architecture

  • Industry use cases of big data analytics

  • Practical Exercise: Exploring big data environments

Module 2: Big Data Infrastructure & Technologies

  • Overview of big data platforms

  • Distributed computing concepts

  • Introduction to Hadoop ecosystem

  • Data storage frameworks and data lakes

  • Cloud platforms for big data processing

  • Practical Lab: Setting up a big data environment

Module 3: Data Collection & Data Ingestion

  • Data sources in big data environments

  • Data ingestion methods and tools

  • Batch vs real-time data processing

  • Data pipelines and ETL processes

  • Data integration techniques

  • Practical Exercise: Building a data ingestion pipeline

Module 4: Big Data Storage & Management

  • Distributed file systems

  • Data warehousing and data lakes

  • Data modeling for big data systems

  • Data partitioning and indexing

  • Data governance and lifecycle management

  • Practical Lab: Managing large datasets

Module 5: Data Processing Frameworks

  • Introduction to Apache Spark

  • MapReduce fundamentals

  • Batch data processing

  • Real-time stream processing

  • Data transformation techniques

  • Practical Exercise: Processing data using big data frameworks

Module 6: Big Data Analytics Techniques

  • Descriptive, predictive, and prescriptive analytics

  • Data exploration and pattern identification

  • Statistical techniques for large datasets

  • Machine learning basics for big data

  • Analytical model development

  • Practical Lab: Performing big data analysis

Module 7: Data Visualization & Business Intelligence

  • Importance of data visualization

  • Visualization tools and dashboards

  • Designing effective data dashboards

  • Communicating insights using visual analytics

  • Integrating big data with business intelligence tools

  • Practical Exercise: Creating visual analytics dashboards

Module 8: Big Data Security & Governance

  • Data security challenges in big data systems

  • Data privacy and compliance considerations

  • Access control and encryption techniques

  • Data governance frameworks

  • Ethical use of big data

  • Practical Exercise: Implementing big data security policies

Module 9: Big Data Performance Optimization

  • Performance challenges in big data environments

  • Query optimization strategies

  • Resource management and workload balancing

  • Monitoring big data systems

  • Troubleshooting big data issues

  • Practical Lab: Optimizing big data performance

Module 10: Big Data Strategy & Implementation

  • Developing a big data strategy for organizations

  • Big data project lifecycle

  • Integrating big data analytics into business operations

  • Future trends in big data technologies

  • Case studies of big data implementation

  • Final Practical: Designing a big data analytics solution

Impact

Where the change lands

Individual Impact

  • Practical big data management and analytics skills

  • Ability to process and analyze large datasets

  • Improved data visualization and analytical capabilities

  • Enhanced career opportunities in data analytics

Organizational Impact

  • Improved data-driven decision-making

  • Better management of large organizational datasets

  • Increased operational efficiency through analytics insights

  • Enhanced ability to identify trends and opportunities

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.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

Yes, it starts with foundational concepts before advancing to analytics and big data technologies.

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Course finder

Find the right course for you

Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.

For corporate teams

Training 10+ professionals?

We deliver Training on Big Data Management & Analytics 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.

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