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NITA AccreditedAdvancedPhysical + Virtual10 daysCDMEC

Training on Cloud Data Management Essentials

Master cloud data management essentials. Learn to store, manage, and protect data in the cloud, ensuring data security, accessibility, and compliance.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

10 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Advanced

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

This course is designed to equip participants with a thorough understanding of how to manage data effectively within cloud environments, which are becoming the backbone of modern IT infrastructure. As organizations increasingly migrate their data to the cloud, the need for skilled professionals who can ensure the proper handling of this data has never been greater. This course provides a deep dive into the fundamental concepts of cloud data management, blending theoretical knowledge with practical skills. This course covers key concepts, tools, and best practices for managing data in various cloud platforms, enabling participants to develop the skills needed to optimize cloud data storage, enhance data security, and ensure compliance with industry standards.

Course Duration

10 Days

Who Should Attend

  • IT professionals transitioning to cloud-based environments
  • Data managers and administrators
  • Cloud architects and engineers
  • Database administrators
  • IT consultants and project managers
  • Professionals responsible for data governance and compliance.
Learning outcomes

What you'll walk away with

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

  • Understand the fundamentals of cloud computing and its impact on data management
  • Identify appropriate cloud data storage and database solutions for various business needs
  • Implement effective data governance and security strategies in the cloud
  • Utilize cloud-based data analytics tools to derive actionable insights
  • Optimize cloud data management costs and performance
Course modules

What we cover, module by module

Module 1: Introduction to Cloud Computing and Data Management

  • Overview of cloud computing models (IaaS, PaaS, SaaS)
  • Benefits and challenges of cloud data management
  • Core concepts of data management: data lifecycle, quality, governance
  • Case Study: Transitioning from on-premise systems to cloud-based data management
  • Practical: Map a data lifecycle and identify opportunities for cloud adoption

Module 2: Cloud Data Storage Solutions

  • Types of cloud storage (object, block, file)
  • Selecting the right storage solution for different data types
  • Data backup and recovery strategies in the cloud
  • Case Study: Designing a cloud storage strategy for a growing enterprise
  • Practical: Compare and configure different storage options for sample use cases

Module 3: Cloud Databases

  • Relational and NoSQL databases in the cloud
  • Database migration strategies
  • Performance optimization and scaling
  • Case Study: Migrating legacy databases to cloud-native database systems
  • Practical: Set up and query a cloud-based database

Module 4: Data Security and Privacy in the Cloud

  • Cloud security fundamentals
  • Data encryption and key management
  • Compliance regulations and data protection
  • Case Study: Securing sensitive customer data in a cloud environment
  • Practical: Implement basic security controls and encryption strategies

Module 5: Data Governance and Compliance

  • Data governance frameworks and policies
  • Data quality management
  • Data retention and deletion
  • Case Study: Implementing governance policies to ensure regulatory compliance
  • Practical: Develop a simple data governance and compliance plan

Module 6: Cloud Data Integration

  • Data integration challenges and solutions
  • ETL/ELT processes in the cloud
  • Data synchronization and replication
  • Case Study: Integrating multiple data sources into a unified cloud platform
  • Practical: Design an ETL/ELT workflow for data integration

Module 7: Cloud Data Analytics

  • Big data processing frameworks (Hadoop, Spark)
  • Cloud-based data warehousing and business intelligence
  • Data visualization and storytelling
  • Case Study: Using cloud analytics tools for business insights
  • Practical: Analyze and visualize data using cloud-based tools

Module 8: Cost Optimization and Performance Tuning

  • Cloud cost management strategies
  • Performance optimization techniques
  • Capacity planning and rightsizing
  • Case Study: Reducing cloud costs while maintaining performance
  • Practical: Analyze and optimize a cloud resource usage scenario

Module 9: Cloud Data Migration

  • Migration planning and assessment
  • Data migration tools and techniques
  • Testing and validation
  • Case Study: Executing a successful cloud data migration project
  • Practical: Develop a data migration plan and validation checklist

Module 10: Emerging Trends in Cloud Data Management

  • Serverless computing and data management
  • Artificial intelligence and machine learning in data management
  • Cloud-native data platforms and tools
  • Case Study: Leveraging AI-driven data platforms for advanced analytics
  • Practical: Explore modern cloud tools and propose a future-ready data architecture
Impact

Where the change lands

Organizational Impact

  • Enhance scalability, agility, and cost efficiency through effective cloud adoption.

  • Reduce data security and compliance risks with standardized cloud governance.

  • Streamline workflows and enable faster innovation with a cloud-literate workforce.

Personal Impact

  • Acquire in-demand skills for cloud architecture, data engineering, and IT leadership.

  • Contribute directly to building a secure, scalable cloud data environment.

  • Gain confidence and authority to lead cloud adoption 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.

Full calendar
FAQs

Common questions.

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

The goal is to provide a solid foundation in cloud data management. You'll learn to manage, store, and secure data in the cloud, enabling scalable and cost-effective data solutions.

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 Cloud Data Management Essentials 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.