MCSA SQL 2016 Database Development Training & Certification Package

This course provides students how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. This bundle includes 2 Microsoft Official Courses (20761 & 20762) and 2 Microsoft Exam Vouchers (70-761 & 70-762).

Price Includes –

90 Day Subscription – Video On Demand Training
90 Day Data Center Hosted – Hands On Labs
Two – Microsoft Official Digital Courseware (No expiration)
Two – Microsoft Official Exam Vouchers

~~$1,795.00~~ $1,495.00

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Course ID: MCSA SQL 2016 Database Development Categories: SQL Server Length: Study Online At Your Own Pace & Place
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Directly From Microsoft
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Price Includes

90 Day Subscription – Video On Demand Training
90 Day Data Center Hosted – Hands On Labs
Microsoft Official Digital Courseware (No expiration)

Overview

The Microsoft Official MCSA SQL 2016 Database Development certification is a deep dive into the SQL Server developer topics such as writing queries, subqueries, expressions, operators, stored procedures, functions and XML data. Students learn how to program both on-premises and cloud based databases. This instructor led face to face training program will teach you the skills needed to support SQL 2016 developer task.

This combo package includes 2 Microsoft Official Courses.

The SQL Database Development boot camp incorporates Microsoft Official Courses –

20761 Querying Data with Transact-SQL
20762 Developing SQL Databases

Topics covered in this boot camp:

Describe key capabilities and components of SQL Server 2016.
Describe T-SQL, sets, and predicate logic.
Write a single table SELECT statement.
Write a multi-table SELECT statement.
Write SELECT statements with filtering and sorting.
Describe how SQL Server uses data types.
Write DML statements.
Write queries that use built-in functions.
Write queries that aggregate data.
Write subqueries.
Create and implement views and table-valued functions.
Use set operators to combine query results.
Write queries that use window ranking, offset, and aggregate functions.
Transform data by implementing pivot, unpivot, rollup and cube.
Create and implement stored procedures.
Add programming constructs such as variables, conditions, and loops to T-SQL code.

Design and Implement Tables.
Describe advanced table designs
Ensure Data Integrity through Constraints.
Describe indexes, including Optimized and Columnstore indexes
Design and Implement Views.
Design and Implement Stored Procedures.
Design and Implement User Defined Functions.
Respond to data manipulation using triggers.
Design and Implement In-Memory Tables.
Implement Managed Code in SQL Server.
Store and Query XML Data.
Work with Spatial Data.
Store and Query Blobs and Text Documents.

Course Outline

Module 1: Introduction to Microsoft SQL Server

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.

Lessons

The Basic Architecture of SQL Server
SQL Server Editions and Versions
Getting Started with SQL Server Management Studio

Lab : Working with SQL Server Tools

Working with SQL Server Management Studio
Creating and Organizing T-SQL Scripts
Using Books Online

After completing this module, you will be able to:

Describe relational databases and Transact-SQL queries.
Describe the on-premise and cloud-based editions and versions of SQL Server.
Describe how to use SQL Server Management Studio (SSMS) to connect to an instance of SQL Server, explore the databases contained in the instance, and work with script files that contain T-SQL queries.

Module 2: Introduction to T-SQL Querying

This module describes the elements of T-SQL and their role in writing queries. Describe the use of sets in SQL Server. Describe the use of predicate logic in SQL Server. Describe the logical order of operations in SELECT statements.

Lessons

Introducing T-SQL
Understanding Sets
Understanding Predicate Logic
Understanding the Logical Order of Operations in SELECT statements

Lab : Introduction to T-SQL Querying

Executing Basic SELECT Statements
Executing Queries that Filter Data using Predicates
Executing Queries That Sort Data Using ORDER BY

After completing this module, you will be able to:

Describe the role of T-SQL in writing SELECT statements.
Describe the elements of the T-SQL language and which elements will be useful in writing queries.
Describe the concepts of the set theory, one of the mathematical underpinnings of relational databases, and to help you apply it to how you think about querying SQL Server
Describe predicate logic and examine its application to querying SQL Server.
Explain the elements of a SELECT statement, delineate the order in which the elements are evaluated, and then apply this understanding to a practical approach to writing queries.

Module 3: Writing SELECT Queries

This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

Lessons

Writing Simple SELECT Statements
Eliminating Duplicates with DISTINCT
Using Column and Table Aliases
Writing Simple CASE Expressions

Lab : Writing Basic SELECT Statements

Writing Simple SELECT Statements
Eliminating Duplicates Using DISTINCT
Using Column and Table Aliases
Using a Simple CASE Expression

After completing this module, you will be able to:

Describe the structure and format of the SELECT statement, as well as enhancements that will add functionality and readability to your queries
Describe how to eliminate duplicates using the DISTINCT clause
Describe the use of column and table aliases
Understand and use CASE expressions

Module 4: Querying Multiple Tables

This module describes how to write queries that combine data from multiple sources in Microsoft SQL Server.

Lessons

Understanding Joins
Querying with Inner Joins
Querying with Outer Joins
Querying with Cross Joins and Self Joins

Lab : Querying Multiple Tables

Writing Queries that use Inner Joins
Writing Queries that use Multiple-Table Inner Joins
Writing Queries that use Self-Joins
Writing Queries that use Outer Joins
Writing Queries that use Cross Joins

After completing this module, you will be able to:

Explain the fundamentals of joins in SQL Server
Write inner join queries
Write queries that use outer joins
Use additional join types

Module 5: Sorting and Filtering Data

This module describes how to implement sorting and filtering.

Lessons

Sorting Data
Filtering Data with Predicates
Filtering Data with TOP and OFFSET-FETCH
Working with Unknown Values

Lab : Sorting and Filtering Data

Writing Queries that Filter Data using a WHERE Clause
Writing Queries that Sort Data Using an ORDER BY Clause
Writing Queries that Filter Data Using the TOP Option
Write Queries that filter data using the OFFSET-FETCH clause

After completing this module, you will be able to:

Explain how to add an ORDER BY clause to your queries to control the order of rows displayed in your query’s output
Explain how to construct WHERE clauses to filter out rows that do not match the predicate.
Explain how to limit ranges of rows in the SELECT clause using a TOP option.
Explain how to limit ranges of rows using the OFFSET-FETCH option of an ORDER BY clause.
Explain how three-valued logic accounts for unknown and missing values, how SQL Server uses NULL to mark missing values, and how to test for NULL in your queries.

.Module 6: Working with SQL Server Data Types

This module introduces the data types SQL Server uses to store data.

Lessons

Introducing SQL Server Data Types
Working with Character Data
Working with Date and Time Data

Lab : Working with SQL Server Data Types

Writing Queries that Return Date and Time Data
Writing Queries that use Date and Time Functions
Writing Queries That Return Character Data
Writing Queries That Return Character Functions

After completing this module, you will be able to:

Explore many of the data types SQL Server uses to store data and how data types are converted between types
Explain the SQL Server character-based data types, how character comparisons work, and some common functions you may find useful in your queries
Describe data types that are used to store temporal data, how to enter dates and times so they will be properly parsed by SQL Server, and how to manipulate dates and times with built-in functions.

Module 7: Using DML to Modify Data

This module describes how to create DML queries, and why you would want to.

Lessons

Adding Data to Tables
Modifying and Removing Data
Generating automatic column values

Lab : Using DML to Modify Data

Inserting Records with DML
Updating and Deleting Records Using DML

After completing this module, you will be able to:

Use INSERT and SELECT INTO statements
Use UPDATE, MERGE, DELETE, and TRUNCATE.

Module 8: Using Built-In Functions

This module introduces some of the many built in functions in SQL Server.

Lessons

Writing Queries with Built-In Functions
Using Conversion Functions
Using Logical Functions
Using Functions to Work with NULL

Lab : Using Built-In Functions

Writing Queries That Use Conversion Functions
Writing Queries that use Logical Functions
Writing Queries that Test for Nullability

After completing this module, you will be able to:

Describe the types of functions provided by SQL Server, and then focus on working with scalar functions
Explain how to explicitly convert data between types using several SQL Server functions
Describe how to use logical functions that evaluate an expression and return a scalar result.
Describe additional functions for working with NULL

Module 9: Grouping and Aggregating Data

This module describes how to use aggregate functions.

Lessons

Using Aggregate Functions
Using the GROUP BY Clause
Filtering Groups with HAVING

Lab : Grouping and Aggregating Data

Writing Queries That Use the GROUP BY Clause
Writing Queries that Use Aggregate Functions
Writing Queries that Use Distinct Aggregate Functions
Writing Queries that Filter Groups with the HAVING Clause

After completing this module, you will be able to:

Describe the built-in aggregate function in SQL Server and write queries using it.
Write queries that separate rows using the GROUP BY clause.
Write queries that use the HAVING clause to filter groups.

Module 10: Using Subqueries

This module describes several types of subquery and how and when to use them.

Lessons

Writing Self-Contained Subqueries
Writing Correlated Subqueries
Using the EXISTS Predicate with Subqueries

Lab : Using Subqueries

Writing Queries That Use Self-Contained Subqueries
Writing Queries That Use Scalar and Multi-Result Subqueries
Writing Queries That Use Correlated Subqueries and an EXISTS Clause

After completing this module, you will be able to:

Describe where subqueries may be used in a SELECT statement.
Write queries that use correlated subqueries in a SELECT statement
Write queries that use EXISTS predicates in a WHERE clause to test for the existence of qualifying rows
Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.

Module 11: Using Table Expressions

Previously in this course, you learned about using subqueries as an expression that returned results to an outer calling query. Like subqueries, table expressions are query expressions, but table expressions extend this idea by allowing you to name them and to work with their results as you would work with data in any valid relational table. Microsoft SQL Server supports four types of table expressions: derived tables, common table expression (CTEs), views, and inline table-valued functions (TVFs). In this module, you will learn to work with these forms of table expressions and learn how to use them to help create a modular approach to writing queries.

Lessons

Using Views
Using Inline Table-Valued Functions
Using Derived Tables
Using Common Table Expressions

Lab : Using Table Expressions

Writing Queries That Use Views
Writing Queries That Use Derived Tables
Writing Queries That Use Common Table Expressions (CTEs)
Writing Queries That Use Inline Table-Valued Expressions (TVFs)

After completing this module, you will be able to:

Write queries that return results from views.
Use the CREATE FUNCTION statement to create simple inline TVFs.
Write queries that create and retrieve results from derived tables.
Write queries that create CTEs and return results from the table expression.

Module 12: Using Set Operators

This module introduces how to use the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.

Lessons

Writing Queries with the UNION operator
Using EXCEPT and INTERSECT
Using APPLY

Lab : Using Set Operators

Writing Queries That Use UNION Set Operators and UNION ALL
Writing Queries That Use CROSS APPLY and OUTER APPLY Operators
Writing Queries That Use the EXCEPT and INTERSECT Operators

After completing this module, students will be able to:

Write queries that use UNION to combine input sets.
Write queries that use UNION ALL to combine input sets
Write queries that use the EXCEPT operator to return only rows in one set but not another.
Write queries that use the INTERSECT operator to return only rows that are present in both sets
Write queries using the CROSS APPLY operator.
Write queries using the OUTER APPLY operator

Module 13: Using Windows Ranking, Offset, and Aggregate Functions

This module describes the benefits to using window functions. Restrict window functions to rows defined in an OVER clause, including partitions and frames. Write queries that use window functions to operate on a window of rows and return ranking, aggregation, and offset comparison results.

Lessons

Creating Windows with OVER
Exploring Window Functions

Lab : Using Windows Ranking, Offset, and Aggregate Functions

Writing Queries that use Ranking Functions
Writing Queries that use Offset Functions
Writing Queries that use Window Aggregate Functions

After completing this module, students will be able to:

Describe the T-SQL components used to define windows, and the relationships between them.
Write queries that use the OVER clause, with partitioning, ordering, and framing to define windows
Write queries that use window aggregate functions.
Write queries that use window ranking functions.
Write queries that use window offset functions

Module 14: Pivoting and Grouping Sets

This module describes write queries that pivot and unpivot result sets. Write queries that specify multiple groupings with grouping sets

Lessons

Writing Queries with PIVOT and UNPIVOT
Working with Grouping Sets

Lab : Pivoting and Grouping Sets

Writing Queries that use the PIVOT Operator
Writing Queries that use the UNPIVOT Operator
Writing Queries that use the GROUPING SETS CUBE and ROLLUP Subclauses

After completing this module, students will be able to:

Describe how pivoting data can be used in T-SQL queries.
Write queries that pivot data from rows to columns using the PIVOT operator.
Write queries that unpivot data from columns back to rows using the UNPIVOT operator.
Write queries using the GROUPING SETS subclause.
Write queries that use ROLLUP AND CUBE.
Write queries that use the GROUPING_ID function.

Module 15: Executing Stored Procedures

This module describes how to return results by executing stored procedures. Pass parameters to procedures. Create simple stored procedures that encapsulate a SELECT statement. Construct and execute dynamic SQL with EXEC and sp_executesql.

Lessons

Querying Data with Stored Procedures
Passing Parameters to Stored procedures
Creating Simple Stored Procedures
Working with Dynamic SQL

Lab : Executing Stored Procedures

Using the EXECUTE statement to Invoke Stored Procedures
Passing Parameters to Stored procedures
Executing System Stored Procedures

After completing this module, students will be able to:

Describe stored procedures and their use.
Write T-SQL statements that execute stored procedures to return data.
Write EXECUTE statements that pass input parameters to stored procedures.
Write T-SQL batches that prepare output parameters and execute stored procedures.
Use the CREATE PROCEDURE statement to write a stored procedure.
Create a stored procedure that accepts input parameters.
Describe how T-SQL can be dynamically constructed.
Write queries that use dynamic SQL.

Module 16: Programming with T-SQL

This module describes how to enhance your T-SQL code with programming elements.

Lessons

T-SQL Programming Elements
Controlling Program Flow

Lab : Programming with T-SQL

Declaring Variables and Delimiting Batches
Using Control-Of-Flow Elements
Using Variables in a Dynamic SQL Statement
Using Synonyms

After completing this module, students will be able to:

Describe how Microsoft SQL Server treats collections of statements as batches.
Create and submit batches of T-SQL code for execution by SQL Server.
Describe how SQL Server stores temporary objects as variables.
Write code that declares and assigns variables.
Create and invoke synonyms
Describe the control-of-flow elements in T-SQL.
Write T-SQL code using IF…ELSE blocks.
Write T-SQL code that uses WHILE.

Module 17: Implementing Error Handling

This module introduces error handling for T-SQL.

Lessons

Implementing T-SQL error handling
Implementing structured exception handling

Lab : Implementing Error Handling

Redirecting errors with TRY/CATCH
Using THROW to pass an error message back to a client

After completing this module, students will be able to:

Implement T-SQL error handling.
Implement structured exception handling.

Module 18: Implementing Transactions

This module describes how to implement transactions.

Lessons

Transactions and the database engines
Controlling transactions

Lab : Implementing Transactions

Controlling transactions with BEGIN, COMMIT, and ROLLBACK
Adding error handling to a CATCH block

After completing this module, students will be able to:

Describe transactions and the differences between batches and transactions.
Describe batches and how they are handled by SQL Server.
Create and manage transactions with transaction control language (TCL) statements.
Use SET XACT_ABORT to define SQL Servers handling of transactions outside TRY/CATCH blocks.

Module 1: Introduction to Database Development

Before beginning to work with Microsoft SQL Server in either a development or an administration role, it is important to understand the scope of the SQL Server platform. In particular, it is useful to understand that SQL Server is not just a database engine—it is a complete platform for managing enterprise data. SQL Server provides a strong data platform for all sizes of organizations, in addition to a comprehensive set of tools to make development easier, and more robust.

Lessons

Introduction to the SQL Server Platform
SQL Server Database Development Tasks

After completing this module, you will be able to:

Describe the SQL Server platform.
Use SQL Server administration tools.

Module 2: Designing and Implementing Tables

In a relational database management system (RDBMS), user and system data is stored in tables. Each table consists of a set of rows that describe entities and a set of columns that hold the attributes of an entity. For example, a Customer table might have columns such as CustomerName and CreditLimit, and a row for each customer. In Microsoft SQL Server data management software tables are contained within schemas that are very similar in concept to folders that contain files in the operating system. Designing tables is one of the most important tasks that a database developer undertakes, because incorrect table design leads to the inability to query the data efficiently. After an appropriate design has been created, it is important to know how to correctly implement the design.

Lessons

Designing Tables
Data Types
Working with Schemas
Creating and Altering Tables

Lab : Designing and Implementing Tables

Designing Tables
Creating Schemas
Creating Tables

After completing this module, you will be able to:

Design tables using normalization, primary and foreign keys.
Work with identity columns.
Understand built-in and user data types.
Use schemas in your database designs to organize data, and manage object security.
Work with computed columns and temporary tables.

Module 3: Advanced Table Designs

The physical design of a database can have a significant impact on the ability of the database to meet the storage and performance requirements set out by the stakeholders. Designing a physical database implementation includes planning the filegroups, how to use partitioning to manage large tables, and using compression to improve storage and performance. Temporal tables are a new feature in SQL Server and offer a straightforward solution to collecting changes to your data.

Lessons

Partitioning Data
Compressing Data
Temporal Tables

Lab : Using Advanced Table Designs

Partitioning Data
Compressing Data

After completing this module, you will be able to:

Describe the considerations for using partitioned tables in a SQL Server database.
Plan for using data compression in a SQL Server database.
Use temporal tables to store and query changes to your data.

Module 4: Ensuring Data Integrity through Constraints

The quality of data in your database largely determines the usefulness and effectiveness of applications that rely on it—the success or failure of an organization or a business venture could depend on it. Ensuring data integrity is a critical step in maintaining high-quality data. You should enforce data integrity at all levels of an application from first entry or collection through storage. Microsoft SQL Server data management software provides a range of features to simplify the job.

Lessons

Enforcing Data Integrity
Implementing Data Domain Integrity
Implementing Entity and Referential Integrity

Lab : Using Data Integrity Through Constraints

Add Constraints
Test the Constraints

After completing this module, you will be able to:

Describe the options for enforcing data integrity, and the levels at which they should be applied.
Implement domain integrity through options such as check, unique, and default constraints.
Implement referential integrity through primary and foreign key constraints.

Module 5: Introduction to Indexes

An index is a collection of pages associated with a table. Indexes are used to improve the performance of queries or enforce uniqueness. Before learning to implement indexes, it is helpful to understand how they work, how effective different data types are when used within indexes, and how indexes can be constructed from multiple columns. This module discusses table structures that do not have indexes, and the different index types available in Microsoft SQL Server.

Lessons

Core Indexing Concepts
Data Types and Indexes
Heaps, Clustered, and Nonclustered Indexes
Single Column and Composite Indexes

Lab : Implementing Indexes

Creating a Heap
Creating a Clustered Index
Creating a Covered Index

After completing this module, you will be able to:

Explain core indexing concepts.
Evaluate which index to use for different data types.
Describe the difference between single and composite column indexes.

Module 6: Designing Optimized Index Strategies

Indexes play an important role in enabling SQL Server to retrieve data from a database quickly and efficiently. This module discusses advanced index topics including covering indexes, the INCLUDE clause, query hints, padding and fill factor, statistics, using DMOs, the Database Tuning Advisor, and Query Store.

Lessons

Index Strategies
Managing Indexes
Execution Plans
The Database Engine Tuning Advisor
Query Store

Lab : Optimizing Indexes

Using Query Store
Heaps and Clustered Indexes
Creating a Covered Index

After completing this module, you will be able to:

What a covering index is, and when to use one.
The issues involved in managing indexes.
Actual and estimated execution plans.
How to use Database Tuning Advisor to improve the performance of queries.
How to use Query Store to improve query performance.

Module 7: Columnstore Indexes

Introduced in Microsoft SQL Server 2012, columnstore indexes are used in large data warehouse solutions by many organizations. This module highlights the benefits of using these indexes on large datasets; the improvements made to columnstore indexes in SQL Server 2016; and the considerations needed to use columnstore indexes effectively in your solutions.

Lessons

Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes

Lab : Using Columnstore Indexes

Creating a Columnstore Index
Create a Memory Optimized Columnstore Table

After completing this module, you will be able to:

Describe columnstore indexes and identify suitable scenarios for their use.
Create clustered and nonclustered columnstore indexes.
Describe considerations for using columnstore indexes.

Module 8: Designing and Implementing Views

This module describes the design and implementation of views. A view is a special type of query—one that is stored and can be used in other queries—just like a table. With a view, only the query definition is stored on disk; not the result set. The only exception to this is indexed views, when the result set is also stored on disk, just like a table. Views simplify the design of a database by providing a layer of abstraction, and hiding the complexity of table joins. Views are also a way of securing your data by giving users permissions to use a view, without giving them permissions to the underlying objects. This means data can be kept private, and can only be viewed by appropriate users.

Lessons

Introduction to Views
Creating and Managing Views
Performance Considerations for Views

Lab : Designing and Implementing Views

Creating Standard Views
Creating an Updateable view

After completing this module, you will be able to:

Understand the role of views in database design.
Create and manage views.
Understand the performance considerations with views.

Module 9: Designing and Implementing Stored Procedures

This module describes the design and implementation of stored procedures.

Lessons

Introduction to Stored Procedures
Working with Stored Procedures
Implementing Parameterized Stored Procedures
Controlling Execution Context

Lab : Designing and Implementing Stored Procedures

Create Stored procedures
Create Parameterized Stored procedures
Changes Stored Procedure Execution Context

After completing this module, you will be able to:

Understand what stored procedures are, and what benefits they have.
Design, create, and alter stored procedures.
Control the execution context of stored procedures.
Implement stored procedures that use parameters.

Module 10: Designing and Implementing User-Defined Functions

Functions are routines that you use to encapsulate frequently performed logic. Rather than having to repeat the function logic in many places, code can call the function. This makes code more maintainable, and easier to debug. In this module, you will learn to design and implement user-defined functions (UDFs) that enforce business rules or data consistency. You will also learn how to modify and maintain existing functions.

Lessons

Overview of Functions
Designing and Implementing Scalar Functions
Designing and Implementing Table-Valued Functions
Considerations for Implementing Functions
Alternatives to Functions

Lab : Designing and Implementing User-Defined Functions

Format Phone numbers
Modify an Existing Function

After completing this module, you will be able to:

Describe different types of functions.
Design and implement scalar functions.
Design and implement table-valued functions (TVFs).
Describe considerations for implementing functions.
Describe alternatives to functions.

Module 11: Responding to Data Manipulation via Triggers

Data Manipulation Language (DML) triggers are powerful tools that you can use to enforce domain, entity, referential data integrity and business logic. The enforcement of integrity helps you to build reliable applications. In this module, you will learn what DML triggers are, how they enforce data integrity, the different types of trigger that are available to you, and how to define them in your database.

Lessons

Designing DML Triggers
Implementing DML Triggers
Advanced Trigger Concepts

Lab : Responding to Data Manipulation by Using Triggers

Create and Test the Audit Trigger
Improve the Audit Trigger

After completing this module, you will be able to:

Design DML triggers
Implement DML triggers
Explain advanced DML trigger concepts, such as nesting and recursion.

Module 12: Using In-Memory Tables

Microsoft SQL Server 2014 data management software introduced in-memory online transaction processing (OLTP) functionality features to improve the performance of OLTP workloads. SQL Server adds several enhancements, such as the ability to alter a memory-optimized table without recreating it. Memory-optimized tables are primarily stored in memory, which provides the improved performance by reducing hard disk access. Natively compiled stored procedures further improve performance over traditional interpreted Transact-SQL.

Lessons

Memory-Optimized Tables
Natively Compiled Stored Procedures

Lab : Using In-Memory Database Capabilities

Using Memory-Optimized Tables
Using Natively Compiled Stored procedures

After completing this module, you will be able to:

Use memory-optimized tables to improve performance for latch-bound workloads.
Use natively compiled stored procedures.

Module 13: Implementing Managed Code in SQL Server

As a SQL Server professional, you are likely to be asked to create databases that meet business needs. Most requirements can be met using Transact-SQL. However, occasionally you may need additional capabilities that can only be met by using common language runtime (CLR) code. As functionality is added to SQL Server with each new release, the necessity to use managed code decreases. However, there are times when you might need to create aggregates, stored procedures, triggers, user-defined functions, or user-defined types. You can use any .NET Framework language to develop these objects. In this module, you will learn how to use CLR managed code to create user-defined database objects for SQL Server.

Lessons

Introduction to CLR Integration in SQL Server
Implementing and Publishing CLR Assemblies

Lab : Implementing Managed Code in SQL Server

Assessing Proposed CLR Code
Creating a Scalar-Valued CLR Function
Creating a Table Valued CLR Function

After completing this module, you will be able to:

Explain the importance of CLR integration in SQL Server.
Implement and publish CLR assemblies using SQL Server Data Tools (SSDT).

Module 14: Storing and Querying XML Data in SQL Server

XML provides rules for encoding documents in a machine-readable form. It has become a widely adopted standard for representing data structures, rather than sending unstructured documents. Servers that are running Microsoft SQL Server data management software often need to use XML to interchange data with other systems; many SQL Server tools provide an XML-based interface. SQL Server offers extensive handling of XML, both for storage and querying. This module introduces XML, shows how to store XML data within SQL Server, and shows how to query the XML data. The ability to query XML data directly avoids the need to extract data into a relational format before executing Structured Query Language (SQL) queries. To effectively process XML, you need to be able to query XML data in several ways: returning existing relational data as XML, and querying data that is already XML.

Lessons

Introduction to XML and XML Schemas
Storing XML Data and Schemas in SQL Server
Implementing the XML Data Type
Using the Transact-SQL FOR XML Statement
Getting Started with XQuery
Shredding XML

Lab : Storing and Querying XML Data in SQL Server

Determining when to use XML
Testing XML Data Storage in Variables
Using XML Schemas
Using FOR XML Queries
Creating a Stored Procedure to Return XML

After completing this module, you will be able to:

Describe XML and XML schemas.
Store XML data and associated XML schemas in SQL Server.
Implement XML indexes within SQL Server.
Use the Transact-SQL FOR XML statement.
Work with basic XQuery queries.

Module 15: Storing and Querying Spatial Data in SQL Server

This module describes spatial data and how this data can be implemented within SQL Server.

Lessons

Introduction to Spatial Data
Working with SQL Server Spatial Data Types
Using Spatial Data in Applications

Lab : Working with SQL Server Spatial Data

Become Familiar with the Geometry Data Type
Add Spatial Data to an Existing Table
Find Nearby Locations

After completing this module, you will be able to:

Describe how spatial data can be stored in SQL Server
Use basic methods of the GEOMETRY and GEOGRAPHY data types
Query databases containing spatial data

Module 16: Storing and Querying BLOBs and Text Documents in SQL Server

Traditionally, databases have been used to store information in the form of simple values—such as integers, dates, and strings—that contrast with more complex data formats, such as documents, spreadsheets, image files, and video files. As the systems that databases support have become more complex, administrators have found it necessary to integrate this more complex file data with the structured data in database tables. For example, in a product database, it can be helpful to associate a product record with the service manual or instructional videos for that product. SQL Server provides several ways to integrate these files—that are often known as Binary Large Objects (BLOBs)—and enable their content to be indexed and included in search results. In this module, you will learn how to design and optimize a database that includes BLOBs.

Lessons

Considerations for BLOB Data
Working with FILESTREAM
Using Full-Text Search

Lab : Storing and Querying BLOBs and Text Documents in SQL Server

Enabling and Using FILESTREAM Columns
Enabling and Using File Tables
Using a Full-Text Index

After completing this module, you will be able to:

Describe the considerations for designing databases that incorporate BLOB data.
Describe the benefits and design considerations for using FILESTREAM to store BLOB data on a Windows file system.
Describe the benefits of using full-text indexing and Semantic Search, and explain how to use these features to search SQL Server data, including unstructured data

Module 17: SQL Server Concurrency

This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. Concurrency control is a critical feature of multiuser database systems; it allows data to remain consistent when many users are modifying data at the same time. This module covers the implementation of concurrency in Microsoft SQL Server. You will learn about how SQL Server implements concurrency controls, and the different ways you can configure and work with concurrency settings.

Lessons

Concurrency and Transactions
Locking Internals

Lab : SQL Server Concurrency

Implement Snapshot Isolation
Implement Partition Level Locking

After completing this module, you will be able to:

Describe concurrency and transactions in SQL Server.
Describe SQL Server locking.

Module 18: Performance and Monitoring

This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. This module looks at how to measure and monitor the performance of your SQL Server databases. The first two lessons look at SQL Server Extended Events, a flexible, lightweight event-handling system built into the Microsoft SQL Server Database Engine. These lessons focus on the architectural concepts, troubleshooting strategies and usage scenarios.

Lessons

Extended Events
Working with extended Events
Live Query Statistics
Optimize Database File Configuration
Metrics

Lab : Monitoring, Tracing, and Baselining

Collecting and Analyzing Data Using Extended Events
Implementing Baseline Methodology

After completing this module, you will be able to:

Understand Extended Events and how to use them.
Work with Extended Events.
Understand Live Query Statistics.
Optimize the file configuration of your databases.
Use DMVs and Performance Monitor to create baselines and gather performance metrics.

This course covers the exam objectives for Microsoft Official Exam 70-761 Querying Data with Transact-SQL and 70-762 Developing SQL Databases

This course covers the objectives for the 70-761 and 70-762 exams required by these certification(s):

MCSA SQL 2016 Database Development

Working knowledge of relational databases.
Basic knowledge of the Microsoft Windows operating system and its core functionality.

MCSA SQL 2016 Database Development Training & Certification Package

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MCSA SQL 2016 Database Development Training & Certification Package

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