Sql Server Transact Sql Querying Assisted By Github Copilot
Category: Tutorials
- views: 86
- date: 25 July 2025
- posted by: 0nelove

Sql Server Transact Sql Querying Assisted By Github Copilot
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.14 GB | Duration: 9h 33m
In this course we learn how to shape SQL Server Database data for use in analytical processes assisted by GitHub Copilot
What you'll learn
Become familiar with the basics of querying SQL Server Databases using Transact-SQL
Become familiar with the use of GitHub CoPilot to generate faster Transact-SQL code
Experience the value of using Jupyter Books and Notebooks
Become familiar with the use of Azure Data Studio
Requirements
Some familiarity with relational databases would be useful
Some experience with programming
Some awareness of AI capabilities
Description
Fundamentally, this course will take you through the basics of querying SQL Server databases using Transact SQL (TSQL) with the assistance of GitHub CoPilot.
The course is divided into the following sections.
A) Orientation and Setup
B) Foundations
C) Builtin Functions and Datatypes
D) Filtering and Ordering
E) FROM Clause
Basics
with JOINS
F) SubQueries
G) Analytical Functions
Grouped Aggregates
Set Operators
Pivot
Window Functions
H) Extra Innings
Cornucopia Programming - bringing together various programming elements form the course at large.
Data Warehousing - most of the course is conducted using the transactional Adventureworks database. Here we look briefly at coding against a dimensionally modelled data warehouse - AdventureworksDW
Query Data Shaping - takes a look at intermediate programming techniques we may employ to output a final result set.
Data Shaping Exercise - explores the use of Window functions to facilitate data wrangling like 'deduplication', 'gap detection', 'generate new keys' for a data set, 'trimmed mean'.
Voice to Prompt - very brief survey of the possible use of voice to text capabilities in generating AI prompts to generate code.
The programming in all of these sections is facilitated through the use of Azure Data Studio and the use of Jupyter Books and Notebooks.
Through the use of AI prompts, GitHub Copilot generates code that is to be reviewed by the programmer as to its accuracy and functionality.
The combination of learning the 'prompting' and code reviews aids the student in learning the syntax and functionality of TSQL
Who this course is for
Report Writers (like Crystal, SSRS, Power BI, Tableau...)
Database Developers
ETL Programmers
Data Engineers
Data Scientists
Code Reviewers
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