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

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

by Marilyn White
Released August 2017
Publisher(s): Pearson
ISBN: 0134769856

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Video description

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 Instructor

Marilyn 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 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

Table of contents

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

Product information

  • Title: SQL Server 70-761: Querying Data with Transact-SQL
  • Author(s): Marilyn White
  • Release date: August 2017
  • Publisher(s): Pearson
  • ISBN: 0134769856