Home > Store

SQL Server 70-761: Querying Data with Transact-SQL LiveLessons

SQL Server 70-761: Querying Data with Transact-SQL LiveLessons

Your browser doesn't support playback of this video. Please download the file to view it.

Online Video

Register your product to gain access to bonus material or receive a coupon.


  • Copyright 2018
  • Edition: 1st
  • Online Video
  • ISBN-10: 0-13-476988-0
  • ISBN-13: 978-0-13-476988-2

Nearly 13 Hours of Expert Video Instruction


This complete video course guides you hands-on through all the concepts and skills you’ll need to manage data effectively with SQL Server 2016 and Transact-SQL, and prepare for Microsoft’s MCSA Exam 70-761. T-SQL expert and Microsoft Certified Trainer Marilyn White presents nearly 13 hours of video lessons fully aligned to Microsoft’s official exam topics, including 43 video lab walk-through demos with downloadable .sql files for extensive realistic practice. There’s no better way to master the core techniques of T-SQL data management, querying, and basic programming.


In the SQL Server 70-761: Querying Data with Transact-SQL LiveLessons video training course, renowned SQL Server trainer Marilyn White guides you through every concept and skill you’ll need to effectively manage data with Transact-SQL (T-SQL). This course is designed to fully prepare you for Microsoft’s Exam 70-761, the first of two exams required for Microsoft Certified Solutions Associate (MCSA) certification on SQL Server 2016 Database Development.

You’ll learn through 11 well-organized video lessons and 100 concise sublessons, including 43 lab walk-through demonstrations with downloadable .sql files you can explore and run on your own. Organized to reflect Microsoft’s official Exam 70-761 “Skills Measured” list, each lesson corresponds to a major topic required by Microsoft for mastery.

White begins by introducing the SQL Server 2016 tools and concepts you’ll need to work successfully with data. Next, she turns to advanced T-SQL components for querying data, and introduces essential techniques for programming databases with T-SQL.

Ideal for all working and aspiring SQL Server database professionals, this course combines incomparable hands-on MCSA 70-761 exam preparation with practical skill-building for real-world data management.

Skill Level

  • All levels

Learn How To
  • Navigate and efficiently use Microsoft’s SQL Server data management tools
  • Plan and build efficient queries that satisfy business requirements
  • Manage relational, non-relational, and temporal data
  • Retrieve the right data from multiple tables by writing proper JOIN statements
  • Modify data with INSERT, UPDATE, DELETE, and DML OUTPUT statements
  • Use powerful T-SQL functions and understand their performance impact
  • Group, pivot, and unpivot data to gain deeper insights
  • Query and output JSON or XML data
  • Create sophisticated queries by using T-SQL components
  • Program databases with stored procedures, user-defined functions, and views
  • Implement error handling and transaction control
  • Choose, implement, and convert data types
  • Establish data types and NULLS
  • Avoid common errors in writing T-SQL statements and programs

Who Should Take This Course
  • For all working and aspiring database professionals in Microsoft SQL Server environments, especially those pursuing the Microsoft Certified Solutions Associate (MCSA): SQL Server 2016 Database Development certification

Course Requirements
  • Requires a basic working knowledge of databases

About Pearson Video Training

Pearson’s expert-led video tutorials teach you the technology skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include: IT certification, programming, web and mobile development, networking, security, and more. Learn more about Pearson Video training at http://www.informit.com/video



Download the code files (59 KB .zip)

Sample Content

Table of Contents


Module 1: Manage Data with Transact-SQL

Lesson 1: Create Transact-SQL SELECT Queries
Learning Objectives (or Topics)
1.1 Transact-SQL Overview
1.2 Identifying Proper SELECT Query Structure — Predicates and Operators
1.3 Identifying Proper SELECT Query Structure — Elements and Execution
1.4 Lab: Writing Queries That Filter Data Using Predicates
1.5 Writing Specific Queries to Satisfy Business Requirements
1.6 Lab: Reviewing Non-Efficient and Efficient Sample Queries
1.7 Lab: Controlling the Order of the Query Result
1.8 Lab: Understanding All-at-Once Operations
1.9 Constructing Results from Multiple Queries Using Set Operators
1.10 Lab: Creating Queries Using Set Operators
1.11 Lab: Examining Precedence Among Set Operators
1.12 Distinguishing Between UNION and UNION ALL Behavior
1.13 Lab: Creating Queries with UNION and UNION ALL
1.14 Identifying the Query That Would Return Expected Results Based on Provided Table Structure and/or Data
Lesson 1 Summary

Lesson 2: Query Multiple Tables by Using Joins
Learning Objectives (or Topics)
2.1 Writing Queries with Join Statements Based on Provided Tables, Data, and Requirements
2.2 Determining Proper Usage of INNER JOIN, LEFT/RIGHT/FULL OUTER JOIN, and CROSS JOIN
2.3 Lab: Implementing Join Statements on Provided Tables
2.4 Lab: Implementing CROSS JOIN on Provided Tables
2.5 Constructing Multiple JOIN Operators Using AND and OR
2.6 Lab: Using Queries with Multiple JOIN Operators
2.7 Determining the Correct Results When Presented with Multi-table SELECT Statements and Source Data
2.8 Writing Queries with NULLs on Joins
2.9 Lab: Using Joins with NULLS
Lesson 2 Summary

Lesson 3: Implement Functions and Aggregate Data
Learning Objectives (or Topics)
3.1 Constructing Queries Using Scalar-Valued and Table-Valued Functions: Function Components
3.2 Constructing Queries Using Scalar-Valued and Table-Valued Functions: Function Creation and Implementation
3.3 Lab: Implementing Queries Using Scalar-Valued Functions
3.4 Lab: Implementing Queries Using Table-Valued Functions
3.5 Identifying the Impact of Function Usage to Query Performance and WHERE Clause Sargability
3.6 Lab: Analyzing the Query Performance Impact of Function Usage and WHERE Clause
3.7 Identifying the Differences Between Deterministic and Non-Deterministic Functions
3.8 Using Built-In Aggregate Functions
3.9 Using Arithmetic and Date-Related Functions
3.10 Using Logical and System Functions
3.11 Lab: Using Built-In Functions in Queries
Lesson 3 Summary

Lesson 4: Modify Data
Learning Objectives (or Topics)
4.1 Writing INSERT Statements
4.2 Writing UPDATE Statements
4.3 Writing DELETE Statements and Best Practices for Data Modification
4.4 Determining Which Statements Can Be Used to Load Data to a Table Based on Its Structure and Constraints
4.5 Lab: Using INSERT, UPDATE, and DELETE to Modify the Contents of a Table
4.6 Constructing Data Manipulation Language (DML) Statements Using the OUTPUT Statement
4.7 Lab: Creating DML Statements Using the OUTPUT Statement
4.8 Determining the Results of Data Definition Language (DDL) on Supplied Tables and Data
4.9 Lab: Using DDL Statements
Lesson 4 Summary

Module 2: Query Data with Advanced Transact-SQL Components

Lesson 5: Query Data by Using Subqueries and Apply
Learning Objectives (or Topics)
5.1 Determining the Results of Queries Using Subqueries and Table Joins
5.2 Evaluating Performance Differences Between Table Joins and Correlated Subqueries Based on Provided Data and Query Plans
5.3 Lab: Comparing Subqueries and Table Joins
5.4 Distinguishing Between the Use of CROSS APPLY and OUTER APPLY
5.5 Writing APPLY Statements That Return a Given Data Set Based on Supplied Data
5.6 Lab: Using the APPLY Operator
Lesson 5 Summary

Lesson 6: Query Data by Using Table Expressions
Learning Objectives (or Topics)
6.1 Identifying Basic Components of Table Expressions
6.2 Defining Usage Differences Between Table Expressions and Temporary Tables
6.3 Lab: Using Table Expressions
6.4 Constructing Recursive Table Expressions to Meet Business Requirements
6.5 Lab: Using Recursive Table Expressions
Lesson 6 Summary

Lesson 7: Group and Pivot Data by Using Queries
Learning Objectives (or Topics)
7.1 Using Windowing Functions to Group and Rank the Results of a Query
7.2 Distinguishing Between Using Windowing Functions and GROUP BY
7.3 Lab: Using Windowing Functions and GROUP BY
7.4 Constructing Complex GROUP BY Clauses Using GROUPING SETS and CUBE
7.5 Lab: Using GROUPING SETS and CUBE
7.6 Constructing PIVOT and UNPIVOT Statements to Return Desired Results Based on Supplied Data
7.7 Lab: Using PIVOT and UNPIVOT
7.8 Determining the Impact of NULL Values in PIVOT and UNPIVOT Queries
7.9 Lab: Using PIVOT and UNPIVOT in Queries with NULL values
Lesson 7 Summary

Lesson 8: Query Temporal Data and Non-Relational Data
Learning Objectives (or Topics)
8.1 Querying Historic Data Using Temporal Tables
8.2 Lab: Using Temporal Tables
8.3 Querying and Outputting JSON Data
8.4 Lab: Using JSON Data
8.5 Querying and Outputting XML Data
8.6 Lab: Using XML Data
Lesson 8 Summary

Module 3: Program Databases by Using Transact-SQL

Lesson 9: Create Database Programmability Objects by Using Transact-SQL
Learning Objectives (or Topics)
9.1 Creating Stored Procedures
9.2 Creating Table-Valued and Scalar-Valued User-Defined Functions
9.3 Creating and Using Views
9.4 Lab: Writing Stored Procedures
9.5 Implementing Input and Output Parameters in Stored Procedures
9.6 Lab: Creating and Executing Stored Procedures with Input and Output Parameters
9.7 Identifying Whether to Use Scalar-Valued or Table-Valued User-Defined Functions
9.8 Lab: Implementing Scalar-Valued and Table-Valued UDFs
9.9 Distinguishing Between Deterministic and Non-Deterministic Functions
9.10 Creating Indexed Views
9.11 Lab: Creating Views and Using View Options
9.12 Lab: Creating Indexed Views
Lesson 9 Summary

Lesson 10: Implement Error Handling and Transactions
Learning Objectives (or Topics)
10.1 Determining Results of Data Definition Language (DDL) Statements Based on Transaction Control Statements
10.2 Implementing Try…Catch Error Handling with Transact-SQL
10.3 Lab: Using Try...Catch to Redirect Errors
10.4 Generating Error Messages with THROW and RAISERROR
10.5 Lab: Using THROW and RAISERROR
10.6 Lab: Using Error Functions to Retrieve Detailed Error Information
10.7 Implementing Transaction Control in Conjunction with Error Handling in Stored Procedures
10.8 Lab: Using Transaction Control in Conjunction with Error Handling in Stored Procedures
Lesson 10 Summary

Lesson 11: Implement Data Types and NULLS
Learning Objectives (or Topics)
11.1 Evaluating Results of Data Type Conversions
11.2 Lab: Converting Data Types
11.3 Determining Proper Data Types for Given Data Elements or Table Columns: General Guidelines
11.4 Determining Proper Data Types for Given Data Elements or Table Columns: Numeric, Character, Unicode and Other Data Types
11.5 Lab: Using Proper Data Types
11.6 Identifying Locations of Implicit Data Type Conversions in Queries
11.7 Lab: Identifying Implicit Data Type Conversions
11.8 Determining the Correct Results of Joins and Functions in Presence of NULL Values
11.9 Lab: Using Joins and Functions Containing NULL Values
11.10 Identifying Proper Usage of ISNULL and COALESCE Functions
11.11 Lab: Using ISNULL and COALESCE
Lesson 11 Summary



Submit Errata

More Information

InformIT Promotional Mailings & Special Offers

I would like to receive exclusive offers and hear about products from InformIT and its family of brands. I can unsubscribe at any time.


Pearson Education, Inc., 221 River Street, Hoboken, New Jersey 07030, (Pearson) presents this site to provide information about products and services that can be purchased through this site.

This privacy notice provides an overview of our commitment to privacy and describes how we collect, protect, use and share personal information collected through this site. Please note that other Pearson websites and online products and services have their own separate privacy policies.

Collection and Use of Information

To conduct business and deliver products and services, Pearson collects and uses personal information in several ways in connection with this site, including:

Questions and Inquiries

For inquiries and questions, we collect the inquiry or question, together with name, contact details (email address, phone number and mailing address) and any other additional information voluntarily submitted to us through a Contact Us form or an email. We use this information to address the inquiry and respond to the question.

Online Store

For orders and purchases placed through our online store on this site, we collect order details, name, institution name and address (if applicable), email address, phone number, shipping and billing addresses, credit/debit card information, shipping options and any instructions. We use this information to complete transactions, fulfill orders, communicate with individuals placing orders or visiting the online store, and for related purposes.


Pearson may offer opportunities to provide feedback or participate in surveys, including surveys evaluating Pearson products, services or sites. Participation is voluntary. Pearson collects information requested in the survey questions and uses the information to evaluate, support, maintain and improve products, services or sites, develop new products and services, conduct educational research and for other purposes specified in the survey.

Contests and Drawings

Occasionally, we may sponsor a contest or drawing. Participation is optional. Pearson collects name, contact information and other information specified on the entry form for the contest or drawing to conduct the contest or drawing. Pearson may collect additional personal information from the winners of a contest or drawing in order to award the prize and for tax reporting purposes, as required by law.


If you have elected to receive email newsletters or promotional mailings and special offers but want to unsubscribe, simply email information@informit.com.

Service Announcements

On rare occasions it is necessary to send out a strictly service related announcement. For instance, if our service is temporarily suspended for maintenance we might send users an email. Generally, users may not opt-out of these communications, though they can deactivate their account information. However, these communications are not promotional in nature.

Customer Service

We communicate with users on a regular basis to provide requested services and in regard to issues relating to their account we reply via email or phone in accordance with the users' wishes when a user submits their information through our Contact Us form.

Other Collection and Use of Information

Application and System Logs

Pearson automatically collects log data to help ensure the delivery, availability and security of this site. Log data may include technical information about how a user or visitor connected to this site, such as browser type, type of computer/device, operating system, internet service provider and IP address. We use this information for support purposes and to monitor the health of the site, identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents and appropriately scale computing resources.

Web Analytics

Pearson may use third party web trend analytical services, including Google Analytics, to collect visitor information, such as IP addresses, browser types, referring pages, pages visited and time spent on a particular site. While these analytical services collect and report information on an anonymous basis, they may use cookies to gather web trend information. The information gathered may enable Pearson (but not the third party web trend services) to link information with application and system log data. Pearson uses this information for system administration and to identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents, appropriately scale computing resources and otherwise support and deliver this site and its services.

Cookies and Related Technologies

This site uses cookies and similar technologies to personalize content, measure traffic patterns, control security, track use and access of information on this site, and provide interest-based messages and advertising. Users can manage and block the use of cookies through their browser. Disabling or blocking certain cookies may limit the functionality of this site.

Do Not Track

This site currently does not respond to Do Not Track signals.


Pearson uses appropriate physical, administrative and technical security measures to protect personal information from unauthorized access, use and disclosure.


This site is not directed to children under the age of 13.


Pearson may send or direct marketing communications to users, provided that

  • Pearson will not use personal information collected or processed as a K-12 school service provider for the purpose of directed or targeted advertising.
  • Such marketing is consistent with applicable law and Pearson's legal obligations.
  • Pearson will not knowingly direct or send marketing communications to an individual who has expressed a preference not to receive marketing.
  • Where required by applicable law, express or implied consent to marketing exists and has not been withdrawn.

Pearson may provide personal information to a third party service provider on a restricted basis to provide marketing solely on behalf of Pearson or an affiliate or customer for whom Pearson is a service provider. Marketing preferences may be changed at any time.

Correcting/Updating Personal Information

If a user's personally identifiable information changes (such as your postal address or email address), we provide a way to correct or update that user's personal data provided to us. This can be done on the Account page. If a user no longer desires our service and desires to delete his or her account, please contact us at customer-service@informit.com and we will process the deletion of a user's account.


Users can always make an informed choice as to whether they should proceed with certain services offered by InformIT. If you choose to remove yourself from our mailing list(s) simply visit the following page and uncheck any communication you no longer want to receive: www.informit.com/u.aspx.

Sale of Personal Information

Pearson does not rent or sell personal information in exchange for any payment of money.

While Pearson does not sell personal information, as defined in Nevada law, Nevada residents may email a request for no sale of their personal information to NevadaDesignatedRequest@pearson.com.

Supplemental Privacy Statement for California Residents

California residents should read our Supplemental privacy statement for California residents in conjunction with this Privacy Notice. The Supplemental privacy statement for California residents explains Pearson's commitment to comply with California law and applies to personal information of California residents collected in connection with this site and the Services.

Sharing and Disclosure

Pearson may disclose personal information, as follows:

  • As required by law.
  • With the consent of the individual (or their parent, if the individual is a minor)
  • In response to a subpoena, court order or legal process, to the extent permitted or required by law
  • To protect the security and safety of individuals, data, assets and systems, consistent with applicable law
  • In connection the sale, joint venture or other transfer of some or all of its company or assets, subject to the provisions of this Privacy Notice
  • To investigate or address actual or suspected fraud or other illegal activities
  • To exercise its legal rights, including enforcement of the Terms of Use for this site or another contract
  • To affiliated Pearson companies and other companies and organizations who perform work for Pearson and are obligated to protect the privacy of personal information consistent with this Privacy Notice
  • To a school, organization, company or government agency, where Pearson collects or processes the personal information in a school setting or on behalf of such organization, company or government agency.


This web site contains links to other sites. Please be aware that we are not responsible for the privacy practices of such other sites. We encourage our users to be aware when they leave our site and to read the privacy statements of each and every web site that collects Personal Information. This privacy statement applies solely to information collected by this web site.

Requests and Contact

Please contact us about this Privacy Notice or if you have any requests or questions relating to the privacy of your personal information.

Changes to this Privacy Notice

We may revise this Privacy Notice through an updated posting. We will identify the effective date of the revision in the posting. Often, updates are made to provide greater clarity or to comply with changes in regulatory requirements. If the updates involve material changes to the collection, protection, use or disclosure of Personal Information, Pearson will provide notice of the change through a conspicuous notice on this site or other appropriate way. Continued use of the site after the effective date of a posted revision evidences acceptance. Please contact us if you have questions or concerns about the Privacy Notice or any objection to any revisions.

Last Update: November 17, 2020