Master advanced T-SQL querying and tuning techniques with industry expert Itzik Ben-Gan, tailored for T-SQL programmers and SQL Server professionals aiming to optimize SQL Server 2012, 2014, and 2016 performance.
Design efficient T-SQL queries to optimize performance.
Implement advanced data manipulation and query tuning techniques.
Understand SQL Server’s internals, focusing on cardinality estimations.
Utilize programmable objects and recursive queries for complex solutions.
The course focuses on writing and tuning queries and programming with T-SQL in SQL Server 2012, 2014 and 2016. In this course you will learn the details and capabilities of T-SQL in the following areas: Logical Query Processing; Query Tuning (Internals and Index Tuning, including Columnstore Indexes, Query Store, New Cardinality Estimator, Temporary Tables, Sets vs. Cursors, Query Tuning with Query Revisions); Subqueries and Table Expressions (Derived Tables, CTEs, Views, Inline Table-Valued Functions), Recursive Queries, APPLY Operator, Joins and Set Operators; Aggregating, Pivoting and Windowing (including Ranking, Aggregate and Offset Window Functions); TOP and OFFSET-FETCH; Data Modification; Working with Date and Time (including temporal tables); Programmable Objects (Dynamic SQL, User Defined Functions, Stored Procedures, Triggers, Transactions and Concurrency, Exception Handling); In-Memory OLTP. Along the course you will learn how to use T-SQL to solve practical problems such as: Relational Division, Missing and Existing Ranges (Gaps and Islands), Separating Elements, Pivoting and Unpivoting, Ranking and Offset, Running Totals, Moving Averages, YTD, Custom Aggregations, TOP and OFFSET-FETCH Problems, Paging, Top N Per Group, Median, Data De-Duplication, Handling Sequences, Merging Data, Treatment of Temporal Intervals (Intersection, Max Concurrent, Packing), Dynamic Filtering, Migrating On-Disk to Memory Optimized Data, and more. You will learn how to tune your queries, how to develop efficient routines including user defined functions, stored procedures and triggers, work in multi-user environments with transactions and isolation levels, and use dynamic SQL securely and efficiently. The course provides a dedicated module focusing on query tuning. The module covers internals and index tuning, including coverage of Columnstore data, index access methods, cardinality estimations, query store, temporary tables, set vs. cursors, and query tuning using query revisions. Moreover, query tuning is in the heart of this course and is incorporated in the different modules throughout the course. With each querying/programming problem the discussions will revolve around logical aspects, set-based vs. procedural programming and optimization of the solutions. The course workbook also contains a bonus self-study appendix on Graphs and Recursive queries. This appendix covers graphs, trees and hierarchies. It explains how to model and query such structures. It also covers the HIERARCHYID datatype. Author: This course was developed by Itzik Ben-Gan, a mentor and one of the founders of SolidQ, author of award winning books about T-SQL, a columnist in SQL Server Pro magazine, a Microsoft Data Platform MVP since 1999, and a regular speaker in SQL Server related events.
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Logical Query Processing Order
Logical Query Processing Example
Phase Details
Quiz
Internals and Index Tuning
Quiz
New Cardinality Estimator
Temporary Tables
Sets vs. Cursors
Query Tuning with Query Revisions
Subqueries and Table Expressions
APPLY Operator
Joins
Set Operators
LAB 03
Window Functions
Pivoting and Unpivoting Data
Custom Aggregations
Grouping Sets (bonus self-study unit)
LAB 04
TOP
OFFSET-FETCH
Top N Per Group
LAB 05
Inserting Data
Sequences
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 Problems
LAB 07
Dynamic SQL
User Defined Functions
Stored Procedures
Triggers
Transactions and Concurrency
Exception Handling
LAB 08
Intro to In-Memory OLTP
Architecture
Memory Optimized Tables and Indexes
Natively Compiled Modules
Transaction Semantics
LAB 09
Graphs, Described
Materialized Paths
Custom
Using the HIERARCHYID datatype
Nested Sets
Nested Iterations
Loops
Recursive Queries
LAB A
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Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier
Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier