Adv T-SQL Querying, Programming and Tuning SQL Server
What You'll Learn
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.
Prerequisites
Before attending this course, it is recommended that students have the following skills:At least one year of T-SQL querying and programming experience in SQL Server or Azure SQL Database
Outline
Module 01: Logical Query Processing
Logical Query Processing Order
Logical Query Processing Example
Phase Details
Module 02: Query Tuning
Internals and Index Tuning
Quiz
New Cardinality Estimator
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 (bonus 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 Problems
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
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