Advanced Database Design Patterns in Action
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- At udemy.com you can purchase Advanced Database Design Patterns in Action for only $54.99
- The lowest price of Advanced Database Design Patterns in Action was obtained on December 14, 2024 8:18 pm.
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Advanced Database Design Patterns in Action
$54.99 Original price was: $54.99.$13.00Current price is: $13.00.
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Advanced Database Design Patterns in Action
★★★★★
$54.99
in stock
Udemy.com
as of December 14, 2024 8:18 pm
Real Project | Database Design | Normalization | Indexing | Partitioning | Modeling | Security | SQL Server
Created by:
Michal Panasiuk
Senior Software Engineer
Senior Software Engineer
Rating:5 (7reviews)
105students enrolled
What Will I Learn?
- 60+ HANDS-ON sessions
- 140+ slides and 20+ sql migrations scripts available for download
- Understand how to choose the right data type for your index
- Choose the right indexing strategy to boost query performance
- Apply advanced data modeling techniques to handle complex data scenarios
- Master table partitioning—both horizontally and vertically—to efficiently manage large datasets
- Design databases for multilingual applications without sacrificing speed
- Model and implement hierarchical data structures for intuitive data organization
- Prevent index fragmentation with smart design choices from the start
- Implement table inheritance to model complex relationships effectively
- Know when to normalize to improve data integrity, and when to denormalize to optimize performance
Requirements
- Basic understanding of database design concepts such as normalization, indexes, triggers and stored procedures.
- Some experience with relational databases would be helpful to maximize what you can get out of this course.
Target audience
- Database developers and architects who are looking to level up their database design skills with advanced techniques
- Full-stack developers, and junior DBAs who understand basic SQL Server concepts and can write simple SQL queries
- SQL Server professionals who want to optimize performance, scalability, and maintainability in real-world projects
- Software engineers working with large datasets who need to implement effective partitioning and indexing strategies
- Data professionals tasked with designing complex database systems, including support for hierarchical data, multi-language applications, and table inheritance
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