Training on Data Management in Cloud Computing
Master cloud data management. Learn to store, manage, and protect data in the cloud, ensuring data security, accessibility, and compliance.
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 understanding of data management in cloud computing environments. Participants will explore various cloud data services, architectures, and tools, focusing on best practices for managing data securely, efficiently, and at scale. The course covers topics such as cloud storage models, data migration strategies, database management in the cloud, data privacy, and compliance. Through a mix of theoretical lessons and hands-on exercises, participants will gain the skills necessary to manage data in leading cloud platforms like AWS, Azure, and Google Cloud. Individuals working in organizations that are undergoing cloud migration or looking to optimize their data management strategies will also benefit from this course.
Course Duration
5 Days
Who Should Attend
- IT professionals and data managers looking to expand their knowledge in cloud data management.
- Database administrators interested in migrating to cloud-based solutions.
- Cloud architects and engineers responsible for designing and implementing cloud-based data solutions.
- Software developers who want to integrate cloud data management into their applications.
- Students and professionals aiming to specialize in cloud computing and data management.
What you'll walk away with
By the end of this course, participants will be able to:
- Understand the fundamental concepts of cloud computing and data management
- Evaluate and select appropriate cloud data storage and processing solutions
- Implement effective data governance and data quality practices in the cloud
- Develop strategies for data migration and integration in cloud environments
- Apply data security and privacy measures to protect sensitive data in the cloud
- Utilize cloud-based tools and platforms for big data analytics and processing
What we cover, module by module
Module 1: Introduction to Cloud Computing and Data Management
- Overview of cloud computing models (IaaS, PaaS, SaaS)
- Core data management concepts (data lifecycle, metadata, data quality)
- Benefits and challenges of cloud data management
- Case Study: Transitioning from on-premise data systems to cloud-based data management
- Practical: Map a data lifecycle for a cloud-based application
Module 2: Cloud Data Storage and Retrieval
- Cloud storage options (object storage, block storage, file storage)
- Data lake vs. data warehouse in the cloud
- Data access and retrieval strategies
- Data redundancy and backup in the cloud
- Case Study: Designing a scalable cloud storage architecture for a growing business
- Practical: Configure cloud storage and simulate data retrieval scenarios
Module 3: Data Governance and Metadata Management
- Data governance frameworks and principles
- Data cataloging and metadata management
- Data quality assessment and improvement
- Master data management in the cloud
- Case Study: Implementing a data governance framework in a financial organization
- Practical: Develop a data governance and metadata management plan
Module 4: Data Migration and Integration
- Data migration planning and execution
- Data integration patterns and tools
- ETL/ELT processes in the cloud
- Data synchronization and replication
- Case Study: Migrating legacy data systems to a cloud platform with minimal downtime
- Practical: Design a data migration and integration workflow
Module 5: Big Data Analytics and Processing in the Cloud
- Cloud-based big data platforms (Hadoop, Spark, cloud-native services)
- Data processing frameworks and tools
- Real-time analytics and streaming data
- Data visualization and reporting in the cloud
- Case Study: Implementing real-time analytics for business intelligence
- Practical: Process and analyze a dataset using a cloud-based analytics tool
Where the change lands
Organizational Impact
-
Improve scalability, agility, and cost efficiency through cloud adoption.
-
Reduce data security and compliance risks with standardized cloud governance.
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Streamline workflows and accelerate innovation across the organization.
Personal Impact
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Gain in-demand cloud and data management skills.
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Advance toward cloud architecture, data engineering, or senior IT roles.
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Lead and support strategic cloud initiatives with confidence.
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
Find the right course for you
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For corporate teams
Training 10+ professionals?
We deliver Training on Data Management in Cloud Computing 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.