SQL Server 70-761: Querying Data with Transact-SQL LiveLessons
- By Marilyn White
- Published Aug 16, 2017 by Pearson IT Certification. Part of the LiveLessons series.
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Description
- 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
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.
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
Sample Content
Table of Contents
Introduction
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
Summary