Course 20761A: MCSA: 70-761 Querying Data with Transact-SQL
5 Days or 8 Evenings
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.
- 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
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.
- Introducing T-SQL
- Understanding Sets
- Understanding Predicate Logic
- Understanding the Logical Order of Operations in SELECT statements
Lab : Introduction to Transact-SQL Querying
Module 3: Writing SELECT Queries
This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.
- Writing Simple SELECT Statements
- Eliminating Duplicates with DISTINCT
- Using Column and Table Aliases
- Writing Simple CASE Expressions
Lab : Writing Basic SELECT Statements
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.
- Understanding Joins
- Querying with Inner Joins
- Querying with Outer Joins
- Querying with Cross Joins and Self Joins
Lab : Querying Multiple Tables
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.
- Sorting Data
- Filtering Data with Predicates
- Filtering with the TOP and OFFSET-FETCH Options
- Working with Unknown Values
Lab : Sorting and Filtering Data
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.
- Introducing SQL Server 2016 Data Types
- Working with Character Data
- Working with Date and Time Data
Lab : Working with SQL Server 2016 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.
- Inserting Data
- Modifying and Deleting Data
Lab : Using DML to Modify Data
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.
- Writing Queries with Built-In Functions
- Using Conversion Functions
- Using Logical Functions
- Using Functions to Work with NULL
Lab : Using Built-In Functions
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.
- Using Aggregate Functions
- Using the GROUP BY Clause
- Filtering Groups with HAVING
Lab : Grouping and Aggregating Data
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.
- Writing Self-Contained Subqueries
- Writing Correlated Subqueries
- Using the EXISTS Predicate with Subqueries
Lab : Using Subqueries
Module 11: Using Set Operators
This module introduces the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.
- Writing Queries with the UNION Operator
- Using EXCEPT and INTERSECT
- Using APPLY
Lab : Using SET Operators
Course 20762A: MCSA: 70-762 Developing SQL Databases
5 Days or 8 Evenings
Module 1: Introduction to Database Development
This module is used to introduce the entire SQL Server platform and its major tools. It will cover editions, versions, basics of network listeners, and concepts of services and service accounts.
- Introduction to the SQL Server Platform
- SQL Server Database Development Tasks
Lab : SQL Server Database Development Tasks
Module 2: Designing and Implementing Tables
This module describes the design and implementation of tables. (Note: partitioned tables are not covered).
- Designing Tables
- Data Types
- Working with Schemas
- Creating and Altering Tables
Lab : Designing and Implementing Tables
Module 3: Advanced Table Designs
This module describes more advanced table designs.
- Partitioning data
- Compressing Data
- Temporal Tables
Lab : Using Advanced Table Designs
Module 4: Ensuring Data Integrity through Constraints
This module describes the design and implementation of constraints.
- Enforcing data Integrity
- Implementing Domain Integrity
- Implementing Entity and Referential Integrity
Lab : Ensuring Data Integrity through Constraints
Module 5: Introduction to Indexes
This module describes the concept of an index and discusses selectivity, density and statistics. It covers appropriate data type choices and choices around composite index structures.
- Core Indexing Concepts
- Data Types and Indexes
- Single Column and Composite Indexes
Lab : Implementing Indexes
Module 6: Designing Optimized Index Strategies
This module includes covering indexes and the INCLUDE clause, hints, padding / fillfactor, statistics. It also execution plans and the DTE
- Covering Indexes
- Managing Indexes
- Execution Plans
- Using the DTE
Lab : Designing Optimized Index Strategies
Module 7: Columnstore Indexes This module introduces Columnstore indexes.
- Introduction to Columnstore indexes
- Creating Columnstore indexes
- Working Columnstore indexes
Lab : Using Columnstore indexes
Module 8: Designing and Implementing Views
This module describes the design and implementation of views.
- Introduction to views
- Creating and managing views
- Performance considerations for views
Lab : Designing and Implementing Views
Module 9: Designing and Implementing Stored Procedures
This module describes the design and implementation of stored procedures.
- Introduction to Stored Procedures
- Working with Stored Procedures
- Implementing Parameterized Stored Procedures
- Controlling Execution Context
Lab : Designing and Implementing Stored Procedures
Module 10: Designing and Implementing User-Defined Functions
This module describes the design and implementation of functions, both scalar and table-valued. (Also discusses where they can lead to performance issues).
- Overview of Functions
- Designing and Implementing Scalar Functions
- Designing and Implementing Table-Valued Functions
- Implementation Considerations for Functions
- Alternatives to Functions
Lab : Designing and Implementing User-defined Functions
Module 11: Responding to Data Manipulation via Triggers
This module describes the design and implementation of triggers.
- Designing DML Triggers
- Implementing DML Triggers
- Advanced Trigger Concepts
Lab : Responding to Data Manipulation via Triggers
Module 12: Using In-Memory Tables
This module covers the creation of in-memory tables and native stored procedures. Furthermore, advantages of in-memory tables are discussed, for example the removal of transaction blocking.
- In-Memory tables
- Native Stored Procedures
Lab : In Memory OLTP
Module 13: Implementing Managed Code in SQL Server
This module describes the implementation of and target use-cases for SQL CLR integration.
- Introduction to SQL CLR Integration
- Importing and Configuring Assemblies
- Implementing SQL CLR Integration
Lab : Implementing Managed Code in SQL Server
Module 14: Storing and Querying XML Data in SQL Server
This module covers the XML data type, schema collections, typed and un-typed columns and appropriate use cases for XML in SQL Server.
- Introduction to XML and XML Schemas
- Storing XML Data and Schemas in SQL Server
- Implementing the XML Data Type
- Using the T-SQL FOR XML Statement
- Getting Started with xQuery
Lab : Storing and Querying XML Data in SQL Server
Module 15: Working with SQL Server Spatial Data
This module describes spatial data and how this data can be implemented within SQL Server.
- Introduction to Spatial Data
- Working with SQL Server Spatial Data Types
- Using Spatial Data in Applications
Lab : Working with SQL Server Spatial Data
Module 16: Storing and Querying Blobs and Text Documents in SQL Server
This module covers full text indexes and queries.
- Considerations for BLOB Data
- Working with FileStream
- Using Full-Text Search
Lab : Storing and Querying Blobs and Text Documents in SQL Server