20761-MOC-ODL: MOC On-Demand Packaged Set 20761: Querying Data with Transact-SQL

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MOC On-Demand Packaged Set 20761A: Querying Data with Transact-SQL

The MOC On-Demand Packaged Set: Querying Data with Transact-SQL contains the following items:

  • MOC On-Demand Course OD20761A (includes Microsoft Labs Online)
  • Digital MOC Course 20761A
The MOC On-Demand Packaged Set 20761A: Querying Data with Transact-SQL is good for one student access for MOC On-Demand and its associated digital MOC.
Note: The Packaged Set assets, MOC On-Demand and its associated digital MOC, may only be provided to a single student; Packaged Set assets cannot be distributed to multiple individuals.
The main purpose of this course is to give students a good understanding of the Transact-SQL language.
Microsoft Labs Online is a secure, cost-effective, compliant, and convenient way to deliver Microsoft Official Courseware hands-on labs to your customers. This internet-based lab hosting service provides 3 months of online access to the labs for this MOC On-Demand Course via a browser.


 

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 in to 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 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 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.
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.

 


 


 

Details for Querying Data with Transact-SQL (20761A course)

About this Course

The main purpose of this course is to give students a good understanding of the Transact-SQL language which is used by all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals.
Audience Profile

This course is intended for Database Administrators, Database Developers, and Business Intelligence professionals. The course will very likely be well attended by SQL power users who aren't necessarily database-focused; namely, report writers, business analysts and client application developers.

At Course Completion

After completing this course, students will be able to:
  • Describe the basic architecture and concepts of Microsoft SQL Server 2016.
  • Understand the similarities and differences between Transact-SQL and other computer languages.
  • Write SELECT queries.
  • Query multiple tables.
  • Sort and filter data.
  • Describe the use of data types in SQL Server.
  • Modify data using Transact-SQL.
  • Use built-in functions.
  • Group and aggregate data.
  • Use subqueries.
  • Use table expressions.
  • Use set operators.
  • Use window ranking, offset and aggregate functions.
  • Implement pivoting and grouping sets.
  • Execute stored procedures.
  • Program with T-SQL.
  • Implement error handling.
  • Implement transactions.


Details for Microsoft Labs Online for this course: Querying Data with Transact-SQL

Microsoft Labs Online is a secure, cost-effective, compliant, and convenient way to deliver Microsoft Official Courseware hands-on labs to your customers. This internet-based lab hosting service provides online access to the labs for this MOC On-Demand Course via a browser.
Microsoft Labs Online is integrated within the MOC On-Demand Course and there are step-by-step instructions provided on how to access and perform the labs. The student will have 24x7 access to the labs for the duration of course access.

Minimum requirements for Microsoft Labs Online include:

System Requirements:

  • Windows XP SP3 or later
    Note: The Chrome browser must be used with Windows XP and Windows Vista.
  • 32-bit Microsoft Internet Explorer 10.0 or later
  • TCP Port 80 open with inbound/outbound access to the Internet
  • 256 KBps per user network bandwidth
  • Ideal screen resolutions above 1280 x 1024

In addition, the labs may be accessed from other browsers and operating systems, including:

  • Chrome
  • Safari


 

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