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This course will teach the basics of Microsoft’s dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.
In this module you will learn about the basics of the Transact-SQL (T-SQL) language, as well as general properties and terminology of relational databases. This module will also introduce the basic SELECT statement for retrieving data from a table.
Introduction to Transact-SQL
Using the SELECT statement
Lab : Get started with SQL Server query tools and writing queries in T-SQL
After completing this module, students will be able to:
Using a query tool to write and execute queries in Transact-SQL
Understand the basic concepts of relational database and the T-SQL language
Write SELECT statements to retrieve data from a relational database table
Understand basic datatypes and how they are used
Understand the basics of NULL values
In the module you will learn how to control what data is returned, the order in which it is returned. You will use the ORDER BY clause, with and without paging. You will learn about various kinds of filters that can be used in the WHERE clause to control which data rows are returned. You will also learn how to manage the results by removing duplicates with DISTINCT.
Sorting query results
Filtering the data
Lab : Sort and filter data returned by SELECT queries
Use ORDER BY to sort results from a T-SQL SELECT statement
Add a TOP clause to limit the ordered rows returned
Page the sorted data with OFFSET-FET
Write WHERE clauses to filter the rows returned
Use DISTINCT to eliminate duplicate rows in the results
In this module, you will explore T-SQL queries which access data from multiple tables with various kinds of JOIN operations and simple subqueries.
Using JOIN operations
Lab : Write queries with JOIN operations
Lab : Write SELECT statements using subqueries
Write queries accessing data from multiple tables using JOIN operations
Understand the differences between type of JOIN operations: INNER JOIN, OUTER JOIN, CROSS JOIN
Understand how to join a table to itself with a self-join
Write subqueries within a SELECT statement
Understand the difference between scalar and multi-valued subqueries
Understand the difference between correlated and self-contained subqueries
In the module you will explore the use of built-in functions for returning computed or special values in the SELECT list or in the WHERE clause. Functions include math functions, string functions and system functions. There are other types of functions that will be mentioned, but not discussed in detail. You will also learn how to combine rows of data into a single group, providing summary information for the group such as SUM, MIN or MAX.
Getting started with scalar functions
Grouping aggregated results
Lab : Built-in functions
Write queries using scalar functions
Write queries using aggregate functions
Use GROUP BY to combine data into groups based on a common column value
Understand how HAVING is used to filter groups of rows
In this module, you will learn the T-SQL statements for modifying table data including UPDATE, DELETE and MERGE as well as various options for INSERT including creating a new table with data from an existing table. You will also look at how to have the system automatically supply values for columns as the data is inserted.
Inserting data into tables
Modifying and deleting data
Lab : Modify data
Insert data into an existing table
Specify that a column should be automatically populating with an IDENTITY or a SEQUENCE value
Modify data using the UPDATE statement
Delete data using the DELETE statement
Modify data using MERGE to synchronize two tables
This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers.
2 Days Course