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LinkedIn Learning

SQL Server Performance for Developers

via LinkedIn Learning

Overview

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Review concepts and strategies to help you enhance your app's performance on Microsoft SQL Server. Discover best practices for building efficient, scalable database applications.

Syllabus

Introduction
  • Welcome
  • What you should know
1. Query Execution
  • Execution plans introduction
  • How to read an execution plan
  • Execution plan XMLs
  • Key lookup: When it's good and when it's bad
  • Nested loop vs. hash join
  • Query Store
  • Stored procedures vs. dynamic SQL
  • Missing index warnings
2. What Not to Do with SQL Server
  • Why cursors are bad
  • Why while loops are cursors
  • What to do instead of cursors
  • Why scalar UDFs are expensive
  • Views and vested views
  • Why stored procedures are better than views for reports
3. Datatypes and Design
  • The importance of datatypes
  • GUIDs vs. INT/BIGINT
  • Unicode data
  • The perils of storing files in your database
  • What datatype conversions do to your query performance
4. Temporary Objects
  • Temp tables
  • Table variables
  • In-memory temp tables
5. Indexing
  • Choosing a PK or clustered index key
  • Why you want a clustered index
  • Where you might not want a clustered index
  • Overview of nonclustered indexes
  • Included column explanation
  • Filtered indexes
6. Columnstore
  • What is a columnstore index?
  • Clustered columnstore and DW
  • Nonclustered columnstore: Why?
  • Using filtered nonclustered columnstore for HTAP
7. Isolation Levels
  • Transaction isolation
  • RCSI: Why it's good
  • Implicit transactions: Why they're terrible
Conclusion
  • Next steps

Taught by

Joey D'Antoni

Reviews

4.8 rating at LinkedIn Learning based on 234 ratings

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