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Language: English
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40 hours
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Study Level: Intermediate
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Certificate of Completion

Course 20761A:

Querying Data with Transact‐SQL

Course details

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.

  • 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.

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.

  • 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.

  • 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.

  • LessonsSorting 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.

  • 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.

  • 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 in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.

  • 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 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.

  • 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 summarize 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.

  • 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.

  • 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.

Developing SQL Databases

Contents

Module 1: An Introduction to Database Development Lesson 1: Introduction to the SQL Server Platform

Lesson 2: SQL Server Database Development Tasks

Module 2: Designing and Implementing Tables

Lesson 1: Designing Tables

Lesson 2: Data Types

Lesson 3: Working with Schemas

Lesson 4: Creating and Altering Tables

Lab: Designing and Implementing Tables

Module 3: Advanced Table Designs

Lesson 1: Partitioning Data

Lesson 2: Compressing Data

Lesson 3: Temporal Tables

Lab: Using Advanced Table Designs

Module 4: Ensuring Data Integrity Through Constraints

Lesson 1: Enforcing Data Integrity

Lesson 2: Implementing Data Domain Integrity

Lesson 3: Implementing Entity and Referential Integrity

Lab: Ensuring Data Integrity Through Constraints

Module 5: Introduction to Indexes

Lesson 1: Core Indexing Concepts

Lesson 2: Data Types and Indexes

Lesson 3: Heaps, Clustered, and Nonclustered Indexes

Lesson 4: Single Column and Composite Indexes

Lab: Implementing Indexes

Module 6: Designing Optimized Index Strategies

Lesson 1: Index Strategies

Lesson 2: Managing Indexes

Lesson 3: Execution Plans

Lesson 4: The Database Engine Tuning Advisor

Lesson 5: Query Store

Lab: Optimizing Indexes

Module 7: Columnstore Indexes

Lesson 1: Introduction to Columnstore Indexes

Lesson 2: Creating Columnstore Indexes

Lesson 3: Working with Columnstore Indexes

Lab: Using Columnstore Indexes

Module 8: Designing and Implementing Views

Lesson 1: Introduction to Views

Lesson 2: Creating and Managing Views

Lesson 3: Performance Considerations for Views

Lab: Designing and Implementing Views

Module 9: Designing and Implementing Stored Procedures

Lesson 1: Introduction to Stored Procedures

Lesson 2: Working with Stored Procedures

Lesson 3: Implementing Parameterized Stored Procedures

Lesson 4: Controlling Execution Context

Lab: Designing and Implementing Stored Procedures

Module 10: Designing and Implementing User-Defined Functions

Lesson 1: Overview of Functions

Lesson 2: Designing and Implementing Scalar Functions

Lesson 3: Designing and Implementing Table-Valued Functions

Lesson 4: Considerations for Implementing Functions

Lesson 5: Alternatives to Functions

Lab: Designing and Implementing User-Defined Functions

Module 11: Responding to Data Manipulation Via Triggers Lesson 1: Designing DML Triggers

Lesson 2: Implementing DML Triggers

Lesson 3: Advanced Trigger Concepts

Lab: Responding to Data Manipulation by Using Triggers

Module 12: Using In-Memory Tables

Lesson 1: Memory-Optimized Tables

Lesson 2: Natively Compiled Stored Procedures

Lab: Using In-Memory Database Capabilities

Module 13: Implementing Managed Code in SQL Server

Lesson 1: Introduction to CLR Integration in SQL Server

Lesson 2: Implementing and Publishing CLR Assemblies

Lab: Implementing Managed Code in SQL Server

Module 14: Storing and Querying XML Data in SQL Server

Lesson 1: Introduction to XML and XML Schemas

Lesson 2: Storing XML Data and Schemas in SQL Server

Lesson 3: Implementing the XML Data Type

Lesson 4: Using the Transact-SQL FOR XML Statement

Lesson 5: Getting Started with XQuery

Lesson 6: Shredding XML

Lab: Storing and Querying XML Data in SQL Server

Module 15: Storing and Querying Spatial Data in SQL Server

Lesson 1: Introduction to Spatial Data

Lesson 2: Working with SQL Server Spatial Data Types

Lesson 3: Using Spatial Data in Applications

Lab: Working with SQL Server Spatial Data

Module 16: Storing and Querying BLOBs and Text Documents in SQL Server

Lesson 1: Considerations for BLOB Data

Lesson 2: Working with FILESTREAM

Lesson 3: Using Full-Text Search

Lab: Storing and Querying BLOBs and Text Documents in SQL Server

Module 17: SQL Server Concurrency

Lesson 1: Concurrency and Transactions

Lesson 2: Locking Internals

Lab: Concurrency and Transactions

Module 18: Performance and Monitoring

Lesson 1: Extended Events

Lesson 2: Working with Extended Events

Lesson 3: Live Query Statistics

Lesson 4: Optimize Database File Configuration

Lesson 5: Metrics

Lab: Monitoring, Tracing, and Baselining

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