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Big Data and Records Management Training Course
Introduction
The exponential growth of data in today’s digital world presents both opportunities and challenges for organizations. Big Data—characterized by its volume, velocity, variety, and complexity—requires innovative approaches to records management to ensure data is organized, accessible, secure, and compliant with regulatory requirements. The Big Data and Records Management Training Course is designed to equip professionals with the knowledge and skills needed to manage large-scale data effectively while maintaining robust records management practices.
This course explores the intersection of Big Data and records management, providing practical strategies for leveraging Big Data technologies to enhance records management systems. Whether you're looking to improve data analytics, ensure compliance, or optimize storage and retrieval, this course will help you navigate the complexities of Big Data in a records management context.
Target Audience
This course is ideal for:
Course Objectives
By the end of this course, participants will:
Duration
5 days
Course Modules
Module 1: Introduction to Big Data and Records Management
Module 2: Big Data Technologies and Tools
Module 3: Managing Unstructured and Semi-Structured Data
Module 4: Data Storage and Retrieval in Big Data Environments
Module 5: Compliance and Security in Big Data Records Management
Module 6: Data Analytics and Insights
Module 7: Metadata and Taxonomy for Big Data
Module 8: Integrating Big Data with Records Management Systems
General remarks
Start & End Date | Location | Fee (USD) | Register |
Jan 5- Jan 9, 2026 | Kigali | 2,850 | |
Jan 26-Jan 30, 2026 | Mombasa | 1,450 | |
Feb 2- Feb 6, 2026 | Nairobi | 1,150 | |
Feb 2- Feb 6, 2026 | Pretoria | 4,000 | |
Mar 2- Mar 6, 2026 | Nairobi | 1,150 | |
Mar 23- Mar 27, 2026 | Dar es Salaam | 2,850 | |
Apr 6- Apr 10, 2026 | Nairobi | 1,150 | |
Apr 20- Apr 24, 2026 | Nairobi | 1,150 | |
May 4- May 8, 2026 | Mombasa | 1,450 | |
May 25- May 29, 2026 | Nairobi | 1,150 | |
June 1- June 5, 2026 | Kigali | 2,850 | |
June 22- June 26, 2026 | Nairobi | 1,150 | |
July 6- July 10, 2026 | Dar es Salaam | 2,850 | |
Aug 3- Aug 7, 2026 | Nairobi | 1,150 | |
Aug 24- Aug 28, 2026 | Pretoria | 4,000 | |
Sep 7- Sept 11, 2026 | Nairobi | 1,150 | |
Sep 21- Sept 25, 2026 | Mombasa | 1,450 | |
Oct 5- Oct 9, 2026 | Nairobi | 1,150 | |
Oct 5- Oct 9, 2026 | Kigali | 2,850 | |
Nov 2- Nov 6, 2026 | Nairobi | 1,150 | |
Nov 23- Nov 27, 2026 | Dar es Salam | 2,850 | |
Dec 7- Dec 11, 2026 | Nairobi | 1,150 |
Start & End Date | Fee (USD) | Register |
Jan 5-Jan 9, 2026 | 800 | |
Jan 26-Jan 30, 2026 | 800 | |
Feb 2- Feb 6, 2026 | 800 | |
Feb 23- Feb 27, 2026 | 800 | |
Mar 2- Mar 6, 2026 | 800 | |
Mar 23- Mar 27, 2026 | 800 | |
Apr 6 – Apr 10, 2026 | 800 | |
Apr 20 – Apr 24, 2026 | 800 | |
May 4 – May 8 , 2026 | 800 | |
Jun 1 – Jun 5, 2026 | 800 | |
Jun 22 – Jun 26, 2026 | 800 | |
July 6 – July 10, 2026 | 800 | |
July 27 – July, 2026 | 800 | |
Aug 3 – Aug 7, 2026 | 800 | |
Aug 24 – Aug 28, 2026 | 800 | |
Sept 7 – Sept 11, 2026 | 800 | |
Sept 21– Sept 25, 2026 | 800 | |
Oct 5 – Oct 9, 2026 | 800 | |
Oct 26 – Oct 30, 2026 | 800 | |
Nov 9 – Nov 13, 2026 | 800 | |
Dec 7 – Dec 11, 2026 | 800 |
The growing volume and complexity of records and data in organizations pose significant challenges in classification, retrieval, and management. Traditional methods of record classification can be time-consuming and prone to errors. Artificial intelligence (AI) is revolutionizing records management by enabling automated,
Open data and knowledge sharing are key pillars for driving transparency, innovation, and collaboration in both public and private sectors. By making data and knowledge freely accessible,
Change management is a critical aspect of any transformation process, especially when it involves the implementation of new knowledge and records management systems.
Effective records management in healthcare is crucial for ensuring patient safety, compliance with regulations, and operational efficiency. With the increasing digitization of medical records,
Innovation thrives in environments where knowledge is effectively managed, shared, and leveraged. Knowledge Management (KM) is essential for fostering creativity, driving continuous improvement, and maintaining a competitive edge.
The exponential growth of data in today’s digital world presents both opportunities and challenges for organizations. Big Data—characterized by its volume, velocity, variety, and complexity—requires innovative approaches to records management to ensure data is organized, accessible, secure, and compliant with regulatory requirements.
In an era where data is one of the most valuable assets for organizations, effective Information Governance (IG) is essential to ensure data is managed responsibly, securely, and in compliance with regulatory requirements. Information Governance Frameworks provide a structured approach to managing information assets, balancing risk, compliance, and value creation.
In the digital age, governments worldwide are transitioning to electronic governance (e-Governance) to improve transparency, efficiency, and public service delivery. Effective records management is critical for ensuring compliance, security, and accessibility of government records in this digital transformation.
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