Second Semester
Database Systems & Data Engineering: From Modeling to Queries and Data Reliability
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0
Duration :
0 Minutes
Training Level :
Professional
Price
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Training Path Description
Learn core database systems and data engineering to build effective models, optimize queries, and ensure data quality.
This course offers a practical blend of database systems and data engineering. You will learn data modeling and schema design, normalization principles, and how to write effective queries while analyzing performance. You’ll also cover data engineering fundamentals such as data pipelines, data lifecycle management, and quality/reliability checks to build scalable, dependable data foundations for organizations.
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What Will You Gain?
Skills related to the course
- - Data modeling (ERD) and schema design
- - SQL skills (SELECT/JOIN/GROUP BY/analysis)
- - Performance tuning (indexing, execution plans, query reduction)
- - Data pipeline design and data lifecycle management
- - Data quality rules: validation, checks, and consistency control
Training Path Objectives
- - Design database schemas that meet functional and non-functional requirements
- - Apply normalization rules to reduce redundancy and improve data integrity
- - Write correct, efficient SQL queries and analyze execution plans
- - Understand data engineering basics and build structured data pipelines
- - Implement validation mechanisms to ensure data quality and reliability throughout the lifecycle
- Data modeling and scalable schema design
- Advanced SQL querying and performance tuning
- Practical understanding of data quality & reliability
- Connecting database design to real data pipeline needs