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20762 MOD: Developing SQL Databases (On Demand)

 

About this On Demand Course

The Microsoft on-demand product is an integrated on-line training experience that includes video, labs, exercises, text and knowledge checks. Attendees experience all of this through an on-demand course player.

What’s included?

  • Access to the official Microsoft Video on Demand Course for 90 days from the point of first access, allowing you to start and stop when you need to.
  • Lab access for 3 months from start of access.
  • Digital edition of the Microsoft Official Curriculum (DMOC) manual for reference throughout your course. All DMOC come with fresh editions so your courseware will always be up to date.
  • Mentoring Support (24/7 by chat, email or phone) for the duration of your subscription

The content is based on the same official courseware we use in our instructor-led training, and videos feature engaging experts hand-selected by Microsoft. Unlike other on-demand offerings that offer simulated labs, MOC On-Demand gives you a live, real-time environment for hands-on training.

Note: Labs in this course are based on the General Availability release of Windows Server 2012 R2 and Windows 8.1.

About this course

This four-day instructor-led course provides students with the knowledge and skills to develop a Microsoft SQL Server 2016 database. The course focuses on teaching individuals how to use SQL Server 2016 product features and tools related to developing a database.

Audience profile

The primary audience for this course is IT Professionals who want to become skilled on SQL Server 2016 product features and technologies for implementing a database.

The secondary audiences for this course are individuals who are developers from other product platforms looking to become skilled in the implementation of a SQL Server 2016 database.

Prerequisites

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

At course completion

After completing this course, students will be able to:

  • 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 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.

Lessons

  • Introduction to the SQL Server Platform
  • SQL Server Database Development Tasks

Module 2: Designing and Implementing Tables

This modules describes the design and implementation of tables. (Note: partitioned tables are not covered).

Lessons

  • Designing Tables
  • Data Types
  • Working with Schemas
  • Creating and Altering Tables

Lab : Designing and Implementing Tables

  • Designing Tables
  • Creating Schemas
  • Creating Tables

Module 3: Advanced Table Designs

This module describes more advanced table designs.

Lessons

  • Partitioning Data
  • Compressing Data
  • Temporal Tables

Lab : Using Advanced Table Designs

  • Partitioning Data
  • Compressing Data

Module 4: Ensuring Data Integrity through Constraints

This module describes the design and implementation of constraints.

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

Lab : Using Data Integrity Through Constraints

  • Add Constraints
  • Test the 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.

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

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 Lessons.

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

Module 7: Columnstore Indexes

This module introduces Columnstore indexes.

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

Module 8: Designing and Implementing Views

This module describes the design and implementation of views.

Lessons

  • Introduction to Views
  • Creating and Managing Views
  • Performance Considerations for Views

Lab : Designing and Implementing Views

  • Creating Standard Views
  • Creating an Updateable view

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

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).

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

Module 11: Responding to Data Manipulation via Triggers

This module describes the design and implementation of triggers.

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

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.

Lessons

  • Memory-Optimized Tables
  • Natively Compiled Stored Procedures

Lab : Using In-Memory Database Capabilities

  • Using Memory-Optimized Tables
  • Using Natively Compiled Stored procedures

Module 13: Implementing Managed Code in SQL Server

This module describes the implementation of and target use-cases for SQL CLR integration.

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

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.

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

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

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

This module covers full text indexes and queries.

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

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

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