Pluralsightintermediateen

SQL Server: Why Physical Database Design Matters

SQL Server data types: Learn to select the best types for efficient table & index design (SQL Server 2005+). Perfect for developers!

4.8(559)
3h 56m
Certificate
Kimberly L. Tripp
Kimberly L. TrippInstructor

Course Content

SQL Server: Why Physical Database Design Matters is an intermediate-level Pluralsight course taught by Kimberly L. Tripp. It runs 3h 56m, is taught in English, and includes a certificate of completion. Learners rate it 4.8 out of 5 from 559 reviews. It is a paid course, first published November 2023.

Master SQL Server Database Design for Optimal Performance

Unlock the secrets to building high-performing, scalable SQL Server databases. This comprehensive course dives deep into the relationship between your database's physical design and the inner workings of the SQL Server platform. Learn how strategic choices in data types, indexing, and clustering keys directly impact long-term SQL Server performance, availability, and scalability.

Data Type Optimization:

  • Choosing the Right Data Types: Understand the critical importance of selecting appropriate data types for columns, tables, and indexes. Discover how incorrect data type choices can lead to:
    • Increased storage requirements
    • Reduced data density in memory
    • Larger database and backup sizes
    • Inefficient transaction log usage
  • Impact on Indexing: Learn how data type selection significantly influences the size and efficiency of both clustered and nonclustered indexes. A poor choice can dramatically inflate nonclustered index sizes.
  • Avoiding Query Performance Bottlenecks: Explore the pitfalls of using incompatible data types in queries, and how this can trigger costly operations and degrade overall query performance.

Key Concepts Covered:

  • Data Structures: Gain a solid understanding of the underlying data structures used to store columns and rows and how these are affected by your data type decisions.
  • Clustered vs. Nonclustered Indexes: Learn how data type choices directly impact the effectiveness and size of clustered and nonclustered indexes.
  • Implicit Conversions & Probe Residuals: Master the techniques to prevent and resolve issues arising from mismatched data types in SQL Server queries, including understanding implicit conversions and probe residuals.

Who Should Take This Course?

This course is designed for SQL Server developers of all experience levels, as well as anyone responsible for designing and creating SQL Server tables and indexes. It's applicable to all SQL Server versions from 2005 onward. Gain the knowledge to make informed decisions and avoid common database design problems. By mastering these principles, you'll ensure your SQL Server databases are optimized for peak database performance and long-term success.

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