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Microsoft Querying Data with Transact-SQL

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  • Microsoft Querying Data with Transact-SQL
    5 days  (Instructor Led Online)  |  Analytics and Data Management Courses

    Course Details

    The Microsoft Querying Data with Transact-SQL course is three-day instructor-led training where you will learn the skills to use the Transact-SQL language relevant to all SQL Server disciplines.

    See other Microsoft courses

     

    Objectives

    This course will immerse you in topics like:

    • Querying multiple tables
    • Working with SQL Server 2016 data types

    Outline

    Module 1: Introduction to Microsoft SQL Server 2016

    This module introduces SQL Server, the versions of SQL Server, including cloud versions, and how to connect to SQL Server using SQL Server Management Studio.

    Lessons:

    • The Basic Architecture of SQL Server
    • SQL Server Editions and Versions
    • Getting Started with SQL Server Management Studio

    Lab: Working with SQL Server 2016 Tools

    After completing this module, you will be able to:

    • Describe the architecture and editions of SQL Server 2012.
    • Work with SQL Server Management Studio.

     

    Module 2: Introduction to T-SQL Querying

    This module introduces the elements of T-SQL and their role in writing queries, describes the use of sets in SQL Server, describes the use of predicate logic in SQL Server, and describes the logical order of operations in SELECT statements.

    Lessons:

    • Introducing T-SQL
    • Understanding Sets
    • Understanding Predicate Logic
    • Understanding the Logical Order of Operations in SELECT statements

    Lab: Introduction to Transact-SQL Querying

    After completing this module, you will be able to:

    • Describe the elements of T-SQL and their role in writing queries
    • Describe the use of sets in SQL Server
    • Describe the use of predicate logic in SQL Server
    • Describe the logical order of operations in SELECT statements

     

    Module 3: Writing SELECT Queries

    This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

    Lessons:

    • Writing Simple SELECT Statements
    • Eliminating Duplicates with DISTINCT
    • Using Column and Table Aliases
    • Writing Simple CASE Expressions

    Lab: Writing Basic SELECT Statements

    After completing this module, you will be able to:

    • Write simple SELECT statements.
    • Eliminate duplicates using the DISTINCT clause.
    • Use column and table aliases.
    • Write simple CASE expressions.

     

    Module 4: Querying Multiple Tables

    This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.

    Lessons:

    • Understanding Joins
    • Querying with Inner Joins
    • Querying with Outer Joins
    • Querying with Cross Joins and Self Joins

    Lab: Querying Multiple Tables

    After completing this module, you will be able to:

    • Describe how multiple tables may be queried in a SELECT statement using joins.
    • Write queries that use inner joins.
    • Write queries that use outer joins.
    • Write queries that use self-joins and cross joins.

     

    Module 5: Sorting and Filtering Data

    This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results.

    Lessons:

    • Sorting Data
    • Filtering Data with Predicates
    • Filtering with the TOP and OFFSET-FETCH Options
    • Working with Unknown Values

    Lab: Sorting and Filtering Data

    After completing this module, you will be able to:

    • Filter data with predicates in the WHERE clause.
    • Sort data using ORDER BY.
    • Filter data in the SELECT clause with TOP.
    • Filter data with OFFSET and FETCH.

     

    Module 6: Working with SQL Server 2016 Data Types

    This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types and the importance of type precedence.

    Lessons:

    • Introducing SQL Server 2016 Data Types
    • Working with Character Data
    • Working with Date and Time Data

    Lab: Working with SQL Server 2016 Data Types

    After completing this module, you will be able to:

    • Describe numeric data types, type precedence and type conversions.
    • Write queries using character data types.
    • Write queries using date and time data types.

     

    Module 7: Using DML to Modify Data

    This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates and deletes to your data.

    Lessons:

    • Inserting Data
    • Modifying and Deleting Data

    Lab: Using DML to Modify Data

    After completing this module, you will be able to:

    • Insert new data into your tables.
    • Update and delete existing records in your tables.

     

    Module 8: Using Built-In Functions

    This module introduces the use of functions that are built into the SQL Server Denali and will discuss some common usages including data type conversion, testing for logical results and nullability.

    Lessons:

    • Writing Queries with Built-In Functions
    • Using Conversion Functions
    • Using Logical Functions
    • Using Functions to Work with NULL

    Lab: Using Built-In Functions

    After completing this module, you will be able to:

    • Write queries with built-in scalar functions.
    • Use conversion functions.
    • Use logical functions.
    • Use functions that work with NULL.

     

    Module 9: Grouping and Aggregating Data

    This module introduces you to methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.

    Lessons:

    • Using Aggregate Functions
    • Using the GROUP BY Clause
    • Filtering Groups with HAVING

    Lab: Grouping and Aggregating Data

    After completing this module, you will be able to:

    • Write queries which summarise data using built-in aggregate functions.
    • Use the GROUP BY clause to arrange rows into groups.
    • Use the HAVING clause to filter out groups based on a search condition.

     

    Module 10: Using Subqueries
    This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators.

    Lessons:

    • Writing Self-Contained Subqueries
    • Writing Correlated Subqueries
    • Using the EXISTS Predicate with Subqueries

    Lab: Using Subqueries

    After completing this module, you will be able to:

    • Describe the uses of queries which are nested within other queries.
    • Write self-contained subqueries which return scalar or multi-valued results.
    • Write correlated subqueries which return scalar or multi-valued results.
    • Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.

     

    Module 11: Using Set Operators

    This module introduces the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.

    Lessons:

    • Writing Queries with the UNION Operator
    • Using EXCEPT and INTERSECT
    • Using APPLY

    Lab: Using SET Operators

    After completing this module, you will be able to:

    • Write queries using UNION, EXCEPT, and INTERSECT operators.
    • Use the APPLY operator.

    Prerequisites

    In addition to professional experience, you must have the following technical knowledge:

    • Working knowledge of relational databases.
    • Basic knowledge of the Microsoft Windows operating system and its core functionality.
    • Working knowledge of Transact-SQL.