by Marilyn White | Released August 2017 | ISBN: 0134769856

Nearly 13 Hours of Expert Video Instruction Overview 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. Description 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.About the InstructorMarilyn White (MCSE, MCTS, MCITP) has 20+ years of IT experience, and has worked with Microsoft Server products as a Microsoft Certified Trainer (MCT) for more than 18 years. For most of that time, she has specialized in SQL Server and SharePoint. She owns White & White Consulting, a New Jersey-based consultancy specializing in systems training and solutions. White has presented at Microsoft launch events for SQL Server and Visual Studio, and served as Technical Learning Guide at Microsoft events. She has authored three Microsoft certification study guides on SQL Server and SharePoint, as well as the video course MCSA Querying Microsoft SQL Server 2012 (Exam 70-461) LiveLessons. White holds a master's degree in education. Skill Level All levelsLearn How ToNavigate and efficiently use Microsoft's SQL Server data management toolsPlan and build efficient queries that satisfy business requirementsManage relational, non-relational, and temporal dataRetrieve the right data from multiple tables by writing proper JOIN statementsModify data with INSERT, UPDATE, DELETE, and DML OUTPUT statementsUse powerful T-SQL functions and understand their performance impactGroup, pivot, and unpivot data to gain deeper insightsQuery and output JSON or XML dataCreate sophisticated queries by using T-SQL componentsProgram databases with stored procedures, user-defined functions, and viewsImplement error handling and transaction controlChoose, implement, and convert data typesEstablish data types and NULLSAvoid common errors in writing T-SQL statements and programsWho Should Take This CourseFor 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 certificationCourse RequirementsRequires a basic working knowledge of databasesAbout 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 Show and hide more

1. Introduction
   • SQL Server 70-761: Introduction 00:04:35
2. Module 1: Manage Data with Transact-SQL
   • Module Introduction 00:00:57
3. Lesson 1: Create Transact-SQL SELECT Queries
   • Learning objectives 00:00:58
   • 1.1 Transact-SQL Overview 00:05:55
   • 1.2 Identifying Proper SELECT Query Structure—Predicates and Operators 00:13:38
   • 1.3 Identifying Proper SELECT Query Structure—Elements and Execution 00:09:37
   • 1.4 Lab: Writing Queries That Filter Data Using Predicates 00:06:52
   • 1.5 Writing Specific Queries to Satisfy Business Requirements 00:10:56
   • 1.6 Lab: Reviewing Non-Efficient and Efficient Sample Queries 00:02:35
   • 1.7 Lab: Controlling the Order of the Query Result 00:05:37
   • 1.8 Lab: Understanding All-at-once Operations 00:07:28
   • 1.9 Constructing Results from Multiple Queries Using Set Operators 00:06:22
   • 1.10 Lab: Creating Queries Using Set Operators 00:04:02
   • 1.11 Lab: Examining Precedence Among Set Operators 00:03:41
   • 1.12 Distinguishing Between UNION and UNION ALL Behavior 00:02:21
   • 1.13 Lab: Creating Queries with UNION and UNION ALL 00:01:46
   • 1.14 Identifying the Query That Would Return Expected Results Based on Provided Table Structure and/or Data 00:03:05
   • Lesson 1 Summary 00:00:58
4. Lesson 2: Query Multiple Tables by Using Joins
   • Learning objectives 00:00:46
   • 2.1 Writing Queries With Join Statements Based on Provided Tables, Data, and Requirements 00:05:46
   • 2.2 Determining Proper Usage of INNER JOIN, LEFT/RIGHT/FULL OUTER JOIN, and CROSS JOIN 00:09:50
   • 2.3 Lab: Implementing Join Statements on Provided Tables 00:08:07
   • 2.4 Lab: Implementing CROSS JOIN on Provided Tables 00:07:04
   • 2.5 Constructing Multiple JOIN Operators Using AND and OR 00:02:58
   • 2.6 Lab: Using Queries with Multiple JOIN Operators 00:05:57
   • 2.7 Determining the Correct Results When Presented with Multi-table SELECT Statements and Source Data 00:07:33
   • 2.8 Writing Queries with NULLs on Joins 00:04:14
   • 2.9 Lab: Using Joins with NULLS 00:06:51
   • Lesson 2 Summary 00:01:19
5. Lesson 3: Implement Functions and Aggregate Data
   • Learning objectives 00:00:54
   • 3.1 Constructing Queries Using Scalar-Valued and Table-Valued Functions: Function Components 00:09:52
   • 3.2 Constructing Queries Using Scalar-Valued and Table-Valued Functions: Function Creation and Implementation 00:07:53
   • 3.3 Lab: Implementing Queries Using Scalar-Valued Functions 00:05:03
   • 3.4 Lab: Implementing Queries Using Table-Valued Functions 00:03:05
   • 3.5 Identifying the Impact of Function Usage to Query Performance and WHERE Clause Sargability 00:02:56
   • 3.6 Lab: Analyzing the Query Performance Impact of Function Usage and WHERE Clause 00:05:06
   • 3.7 Identifying the Differences Between Deterministic and Non-Deterministic Functions 00:01:59
   • 3.8 Using Built-In Aggregate Functions 00:02:44
   • 3.9 Using Arithmetic and Date-Related Functions 00:11:29
   • 3.10 Using Logical and System Functions 00:06:56
   • 3.11 Lab: Using Built-In Functions in Queries 00:09:08
   • Lesson 3 Summary 00:00:54
6. Lesson 4: Modify Data
   • Learning objectives 00:00:43
   • 4.1 Writing INSERT Statements 00:06:19
   • 4.2 Writing UPDATE Statements 00:05:23
   • 4.3 Writing DELETE Statements and Best Practices for Data Modification 00:05:01
   • 4.4 Determining Which Statements Can Be Used to Load Data to a Table Based on Its Structure and Constraints 00:05:48
   • 4.5 Lab: Using INSERT, UPDATE, and DELETE to Modify the Contents of a Table 00:22:41
   • 4.6 Constructing Data Manipulation Language (DML) Statements Using the OUTPUT Statement 00:06:09
   • 4.7 Lab: Creating DML Statements Using the OUTPUT Statement 00:06:26
   • 4.8 Determining the Results of Data Definition Language (DDL) on Supplied Tables and Data 00:04:28
   • 4.9 Lab: Using DDL Statements 00:05:13
   • Lesson 4 Summary 00:01:01
7. Module 2: Query Data With Advanced Transact-SQL Components
   • Module Introduction 00:00:42
8. Lesson 5: Query Data by Using Subqueries and Apply
   • Learning objectives 00:00:44
   • 5.1 Determining the Results of Queries Using Subqueries and Table Joins 00:06:38
   • 5.2 Evaluating Performance Differences Between Table Joins and Correlated Subqueries Based on Provided Data and Query Plans 00:08:32
   • 5.3 Lab: Comparing Subqueries and Table Joins 00:09:33
   • 5.4 Distinguishing Between the Use of CROSS APPLY and OUTER APPLY 00:03:33
   • 5.5 Writing APPLY Statements That Return a Given Data Set Based on Supplied Data 00:05:00
   • 5.6 Lab: Using the APPLY Operator 00:04:41
   • Lesson 5 Summary 00:00:41
9. Lesson 6: Query Data by Using Table Expressions
   • Learning objectives 00:00:44
   • 6.1 Identifying Basic Components of Table Expressions 00:10:44
   • 6.2 Defining Usage Differences Between Table Expressions and Temporary Tables 00:03:15
   • 6.3 Lab: Using Table Expressions 00:09:47
   • 6.4 Constructing Recursive Table Expressions to Meet Business Requirements 00:05:21
   • 6.5 Lab: Using Recursive Table Expressions 00:05:00
   • Lesson 6 Summary 00:00:36
10. Lesson 7: Group and Pivot Data by Using Queries
    • Learning objectives 00:00:55
    • 7.1 Using Windowing Functions to Group and Rank the Results of a Query 00:15:45
    • 7.2 Distinguishing Between Using Windowing Functions and GROUP BY 00:02:24
    • 7.3 Lab: Using Windowing Functions and GROUP BY 00:10:51
    • 7.4 Constructing Complex GROUP BY Clauses Using GROUPING SETS and CUBE 00:10:14
    • 7.5 Lab: Using GROUPING SETS and CUBE 00:11:14
    • 7.6 Constructing PIVOT and UNPIVOT Statements to Return Desired Results Based on Supplied Data 00:09:26
    • 7.7 Lab: Using PIVOT and UNPIVOT 00:09:30
    • 7.8 Determining the Impact of NULL Values in PIVOT and UNPIVOT Queries 00:02:52
    • 7.9 Lab: Using PIVOT and UNPIVOT in Queries with NULL Values 00:05:58
    • Lesson 7 Summary 00:01:00
11. Lesson 8: Query Temporal Data and Non-Relational Data
    • Learning objectives 00:00:32
    • 8.1 Querying Historic Data Using Temporal Tables 00:05:27
    • 8.2 Lab: Using Temporal Tables 00:05:28
    • 8.3 Querying and Outputting JSON Data 00:12:47
    • 8.4 Lab: Using JSON Data 00:09:37
    • 8.5 Querying and Outputting XML Data 00:14:15
    • 8.6 Lab: Using XML Data 00:19:33
    • Lesson 8 Summary 00:01:19
12. Module 3: Program Databases by Using Transact-SQL
    • Module Introduction 00:00:40
13. Lesson 9: Create Database Programmability Objects by Using Transact-SQL
    • Learning objectives 00:00:47
    • 9.1 Creating Stored Procedures 00:07:57
    • 9.2 Creating Table-Valued and Scalar-Valued User-Defined Functions 00:09:32
    • 9.3 Creating and Using Views 00:08:12
    • 9.4 Lab: Writing Stored Procedures 00:06:06
    • 9.5 Implementing Input and Output Parameters in Stored Procedures 00:07:27
    • 9.6 Lab: Creating and Executing Stored Procedures with Input and Output Parameters 00:04:43
    • 9.7 Identifying Whether to Use Scalar-Valued or Table-Valued User-Defined Functions 00:05:22
    • 9.8 Lab: Implementing Scalar-Valued and Table-Valued UDFs 00:09:06
    • 9.9 Distinguishing Between Deterministic and Non-Deterministic Functions 00:02:35
    • 9.10 Creating Indexed Views 00:05:51
    • 9.11 Lab: Creating Views and Using View Options 00:08:00
    • 9.12 Lab: Creating Indexed Views 00:05:32
    • Lesson 9 Summary 00:00:51
14. Lesson 10: Implement Error Handling and Transactions
    • Learning objectives 00:00:55
    • 10.1 Determining Results of Data Definition Language (DDL) Statements Based on Transaction Control Statements 00:14:47
    • 10.2 Implementing Try…Catch Error Handling with Transact-SQL 00:11:13
    • 10.3 Lab: Using Try…Catch to Redirect Errors 00:09:00
    • 10.4 Generating Error Messages with THROW and RAISERROR 00:07:53
    • 10.5 Lab: Using THROW and RAISERROR 00:06:49
    • 10.6 Lab: Using Error Functions to Retrieve Detailed Error Information 00:01:56
    • 10.7 Implementing Transaction Control in Conjunction with Error Handling in Stored Procedures 00:04:43
    • 10.8 Lab: Using Transaction Control in Conjunction with Error Handling in Stored Procedures 00:19:53
    • Lesson 10 Summary 00:01:07
15. Lesson 11: Implement Data Types and NULLS
    • Learning objectives 00:00:52
    • 11.1 Evaluating Results of Data Type Conversions 00:14:09
    • 11.2 Lab: Converting Data Types 00:06:42
    • 11.3 Determining Proper Data Types for Given Data Elements or Table Columns: General Guidelines 00:13:04
    • 11.4 Determining Proper Data Types for Given Data Elements or Table Columns: Numeric, Character, Unicode and Other Data Types 00:07:53
    • 11.5 Lab: Using Proper Data Types 00:16:35
    • 11.6 Identifying Locations of Implicit Data Type Conversions in Queries 00:06:06
    • 11.7 Lab: Identifying Implicit Data Type Conversions 00:05:34
    • 11.8 Determining the Correct Results of Joins and Functions in Presence of NULL Values 00:03:17
    • 11.9 Lab: Using Joins and Functions Containing NULL Values 00:10:22
    • 11.10 Identifying Proper Usage of ISNULL and COALESCE Functions 00:07:29
    • 11.11 Lab: Using ISNULL and COALESCE 00:07:29
    • Lesson 11 Summary 00:01:03
16. Summary
    • SQL Server 70-761: Summary 00:03:25
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