Data Science & Analytics
Database Integration & Management
This course is a comprehensive, hands-on course designed to help learners master the essential concepts, tools, and techniques needed to integrate, manage, and optimize databases across modern applications and enterprise environments.
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Included with Skilldacity Membership
About This Course
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This course is a comprehensive, hands-on course designed to help learners master the essential concepts, tools, and techniques needed to integrate, manage, and optimize databases across modern applications and enterprise environments. Whether you're working with transactional systems, analytics platforms, or distributed architectures, this course provides the practical knowledge required to build reliable, scalable, and high-performance data solutions. Through step-by-step lessons and real-world scenarios, you’ll learn how to work with multiple database systems, design efficient schemas, manage data pipelines, ensure data quality, secure sensitive information, and support seamless integration across applications, APIs, and cloud platforms.
What You’ll Learn
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Core principles of relational and non-relational databases
Designing efficient database schemas and normalization strategies
Integrating databases with applications, APIs, and services
Managing ETL/ELT pipelines for data movement and transformation
Query optimization, indexing, and performance tuning
Implementing data governance, security controls, and compliance
Working with cloud-managed databases and distributed data systems
Backup, recovery, high availability, and continuity planning
Skills You’ll Gain
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Developer
Data Science
Python
Database
Career Path
Data Science & Analytics
Provider
Skilldacity
Level
Foundational
Certification
No certification associated
Access
Included with eligible Skilldacity subscription
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