Overview

The course will be presented by Itzik Ben-Gan and the course materials will include a digital copy of his latest TSQL Querying book.
Developed in-house by SolidQ, the Advanced T-SQL course focuses on writing and tuning queries and programming with T-SQL in SQL Server 2012 - 2019 and in Azure SQL Database.
Developed in-house by SolidQ, the Advanced T-SQL course focuses on writing and tuning queries and programming with T-SQL in SQL Server 2012 – 2019 and in Azure SQL Database. 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, Batch Processing, Query Store, Cardinality Estimations, 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 Aggregate, Ranking and Offset Window Functions), Custom Aggregates and STRING_AGG; TOP and OFFSET-FETCH; Data Modification; Working with Date and Time (including System-Versioned 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 Search Condition (aka 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, batch processing, 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 task the discussions will revolve around logical aspects, set-based vs. iterative/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, and the SQL Graph feature.
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 sqlperformance.com, a Microsoft Data Platform MVP since 1999, and a regular speaker in SQL Server related events.
Target Audience
This course is intended for:
  • 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.
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Prerequisites

  • At least one year of T-SQL querying and programming experience in SQL Server or Azure SQL Database.
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Learning Outcomes

  • 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
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Course Outline

Module 01: Logical Query Processing
  • Logical Query Processing Order
  • Logical Query Processing Example
  • Phase Details
Module 02: Query Tuning
  • Internals and Index Tuning
  • Cardinality Estimations
  • Temporary Tables
  • Sets vs. Cursors
  • Query Tuning with Query Revisions
Module 03 - Multi-Table Queries
  • Subqueries, Table Expressions and Recursive Queries
  • APPLY Operator
  • Joins
  • Set Operators
  • LAB 03
Module 04: Grouping, Pivoting and Windowing
  • Window Functions
  • Pivoting and Unpivoting Data
  • Custom Aggregations
  • STRING_AGG
  • Grouping Sets (self-study unit)
  • LAB 04
Module 05: TOP and OFFSET-FETCH
  • TOP
  • OFFSET-FETCH
  • Top N Per Group
  • LAB 05
Module 06: Data Modification
  • Inserting Data
  • Sequences
  • Deleting Data
  • Updating Data
  • Merging Data
  • The OUTPUT Clause
  • LAB 06
Module 07 - Working with Date and Time
  • Date and Time Datatypes
  • Date and Time Functions
  • Date and Time Challenges
  • System-Versioned Temporal Tables
  • Date and Time Querying Tasks
  • LAB 07
Module 08: Programmable Objects
  • Dynamic SQL
  • User Defined Functions
  • Stored Procedures
  • Triggers
  • Transactions and Concurrency
  • Exception Handling
  • LAB 08
Module 09: In-Memory OLTP
  • Intro to In-Memory OLTP
  • Architecture
  • 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
    • Custom
    • Using the HIERARCHYID datatype
  • Nested Sets
  • Nested Iterations
    • Loops
    • Recursive Queries
  • SQL Graph
  • LAB A

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