Advanced T-SQL Querying, Programming & Tuning for SQL Server 2012 through 2019
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 through 2019 and in Azure SQL Database.
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, 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.
- 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 through 2019 and 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
- Describe the changes between the legacy and new cardinality estimators
- 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 through 2019
- At least one year of T-SQL querying and programming experience in SQL Server or Azure SQL Database
Module 01: Logical Query Processing
- Logical Query Processing Order
- Logical Query Processing Example
- Phase Details
Module 02: Query Tuning
- Internals and Index Tuning
- 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
Module 04: Grouping, Pivoting and Windowing
- Window Functions
- Pivoting and Unpivoting Data
- Custom Aggregations
- STRING_AGG
- Grouping Sets (bonus self-study unit)
Module 05: TOP and OFFSET-FETCH
- TOP
- OFFSET-FETCH
- Top N Per Group
Module 06: Data Modification
- Inserting Data
- Sequences
- Deleting Data
- Updating Data
- Merging Data
- The OUTPUT Clause
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
Module 08: Programmable Objects
- Dynamic SQL
- User Defined Functions
- Stored Procedures
- Triggers
- Transactions and Concurrency
- Exception Handling
Module 09: In-Memory OLTP
- Intro to In-Memory OLTP
- Architecture
- Memory Optimized Tables and Indexes
- Natively Compiled Modules
- Transaction Semantics
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
- על פי דרישה מועד פתיחה
- 9:00-17:00 | 5 ימים רצופיםימים ושעות
- 40 שעות אקדמיות
- מתקדםרמת הקורס
- עבריתשפת הדרכה
- לבדיקת התאמה לקורס
- ממליצים
- לפתיחה והורדת סילבוס