- T-SQL Developers, DBAs, BI Specialists, Data Scientists, Architects, and Analysts.
- Those that need to write or review T-SQL code in SQL Server 2012 – 2019 and Azure SQL Database.
- At least one year of T-SQL querying and programming experience in SQL Server or Azure SQL Database.
- Understand logical query processing
- Understand SQL Server’s internal data structures
- Be able to analyze and tune query performance
- Be able to analyze query execution plans
- Understand cardinality estimations
- Be able to solve complex querying and programming tasks
- Think in terms of sets
- Be able to compare set based and iterative solutions
- Use window functions to improve your solutions
- Handle date and time data including intervals
- Create system-versioned temporal tables
- Describe performance problems related to use of user defined functions and possible workarounds
- Understand compilations, recompilations, plan caching and reuse
- Understand transactions and concurrency aspects of database programming
- Know how to handle hierarchical data and write recursive queries
- Be able to migrate on-disk data to memory optimized data
- Describe T-SQL enhancements in SQL Server 2012 – 2019
- Logical Query Processing Order
- Logical Query Processing Example
- Phase Details
- Internals and Index Tuning
- Cardinality Estimations
- Temporary Tables
- Sets vs. Cursors
- Query Tuning with Query Revisions
- Subqueries, Table Expressions and Recursive Queries
- APPLY Operator
- Set Operators
- LAB 03
- Window Functions
- Pivoting and Unpivoting Data
- Custom Aggregations
- Grouping Sets (self-study unit)
- LAB 04
- Top N Per Group
- LAB 05
- Inserting Data
- Deleting Data
- Updating Data
- Merging Data
- The OUTPUT Clause
- LAB 06
- Date and Time Datatypes
- Date and Time Functions
- Date and Time Challenges
- System-Versioned Temporal Tables
- Date and Time Querying Tasks
- LAB 07
- Dynamic SQL
- User Defined Functions
- Stored Procedures
- Transactions and Concurrency
- Exception Handling
- LAB 08
- Intro to In-Memory OLTP
- Memory Optimized Tables and Indexes
- Natively Compiled Modules
- Transaction Semantics
- LAB 09
- Appendix A: Graphs and Recursive Queries (Bonus Self-Study Material)
- Graphs, Described
- Materialized Paths
- Using the HIERARCHYID datatype
- Nested Sets
- Nested Iterations
- Recursive Queries
- SQL Graph
- LAB A
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