Course 20464-D: Developing Microsoft SQL Server 2014 Databases

Microsoft

Course 20464-D: Developing Microsoft SQL Server 2014 Databases

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This 5-day instructor-led course introduces SQL Server 2014 and describes logical table design, indexing and query plans. It also focusses on the creation of database objects including views, stored procedures, along with parameters, and functions. Other common aspects of procedure coding, such as indexes, concurrency, error handling, and triggers are also covered in this course. Also this course helps you prepare for the Exam 70-464.

This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

Audience Profile

The primary audience for this course is IT Professionals who want to become skilled on SQL Server 2014 product features and technologies for implementing a database. The secondary audiences for this course are individuals who are developers from other product platforms or previous versions of SQL Server looking to become skilled in the implementation of a SQL Server 2014 database.

Prerequisites

Course outline

Module 1: Introduction to Database Development

Module Overview

This module introduces database development and the key tasks that a database developer would typically perform.

Lessons

Introduction to the SQL Server Platform
SQL Server Database Development Tasks

Lab Sessions

Introduction to Database Development

Lab Lessons

Start SQL Server Management Studio
Configure SQL Server

After completing this module, students will be able to:

Describe the architecture and editions of SQL Server 2012.
Work with SQL Server tools.
Configure SQL Server Services.

Module 2: Designing and Implementing Tables

Module Overview

This module explains how to design, create, and alter tables. Also it focusses on working with schemas.

Lessons

Designing Tables
Data Types
Working with Schemas
Creating and Altering Tables
Partitioning Data
Compressing Data

Lab Sessions

Designing and Implementing Tables

Lab Lessons

Choose Appropriate Data Types
Create a Schema
Create the Tables

After completing this module, students will be able to:

Design Tables.
Work with Schemas.
Create and Alter Tables.

Module 3: Ensuring Data Integrity through Constraints

Module Overview

This module explains how to enforce data integrity, and implement domain integrity to maintain high quality data. Also it focusses on implementing Entity and Referential Integrity.

Lessons

Enforcing Data Integrity
Implementing Domain Integrity
Implementing Entity and Referential Integrity

Lab Sessions

Ensuring Data Integrity through Constraints

Lab Lessons

Add Constraints
Test the Constraints (only if time permits)

After completing this module, students will be able to:

Explain the available options for enforcing data integrity and the levels at which they should be applied.
Implement domain integrity.
Implement entity and referential integrity.

Module 4: Introduction to Indexing

Module Overview

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
Single Column and Composite Indexes

Lab Sessions

Implementing Indexes

Lab Lessons

Create Tables That Have Clustered Indexes
Improve Performance Through Nonclustered Indexes

After completing this module, students will be able to:

Describe core indexing concepts.
Choose appropriate data types for indexes.
Design and implement clustered and non clustered indexes.

Module 5: Designing Optimized Index Strategies

Module Overview

This module explains covering indexes and the INCLUDE clause as well as the use of padding, hints and statistics. The module also covers the use of the Database Engine Tuning Advisor and index-related dynamic management views to assess indexing strategies.

Lessons

Covering Indexes
Managing Indexes
Working with Execution Plans
Using the DTE

Lab Sessions

Designing Optimized Index Strategies

Lab Lessons

Explore Existing Index Statistics
Create a Covering Index

After completing this module, students will be able to:

Describe the elements of an execution plan.
Design effective indexing strategies.
Monitor your system to assess the performance of your indexing strategy.

Module 6: Columnstore Indexes

Module Overview

This module explains columnstore indexes and how to use them to maximize the performance and scalability of database applications.

Lessons

Introduction to Columnstore indexes
Creating Columnstore Indexes
Working with Columnstore Indexes

Lab Sessions

Using Columnstore Indexes

Lab Lessons

Enable the Buffer Pool Extension
Create Columnstore Indexes

After completing this module, students will be able to:

Create columnstore indexes.
Describe the considerations for updating tables with non-clustered columnstore indexes.

Module 7: Designing and Implementing Views

Module Overview

This module introduces Views, and explains how to create and manage Views. Also it focuses on the performance consideration for Views.

Lessons

Introduction to Views
Creating and Managing Views
Performance Considerations for Views

Lab Sessions

Designing and Implementing Views

Lab Lessons

Design and Implement the WebStock Views
Design and Implement the Contacts View

After completing this module, students will be able to:

Explain the role of views in database development.
Implement views.
Describe the performance related impacts of views.

Module 8: Designing and Implementing Stored Procedures

Module Overview

This module describes the potential advantages of the use of stored procedures along with guidelines on creating them.

Lessons

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

Lab Sessions

Designing and Implementing Stored Procedures

Lab Lessons

Create Stored Procedures
Create a Parameterized Stored Procedure

After completing this module, students will be able to:

Describe the role of stored procedures and the potential benefits of using them.
Work with stored procedures.
Implement parameterized stored procedures.
Control the execution context of a stored procedure.

Module 9: Designing and Implementing User-Defined Functions

Module Overview

This module explains how to design and implement user-defined functions that enforce business rules or data consistency, and modify and maintain existing functions written by other developers.

Lessons

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

Lab Sessions

Designing and Implementing User-Defined Functions

Lab Lessons

Format Phone Numbers
Modify an Existing Function

After completing this module, students will be able to:

Design and implement scalar functions.
Design and implement table-valued functions.
Describe implementation considerations for functions.
Describe alternatives to functions.

Module 10: Responding to Data Manipulation via Triggers

Module Overview

This module, explains what DML triggers are and how they enforce data integrity. Also it focusses on the different types of triggers available, and how to define triggers in a database.

Lessons

Designing DML Triggers
Implementing DML Triggers
Advanced Trigger Concepts

Lab Sessions

Responding to Data Manipulation by Using Triggers

Lab Lessons

Create and Test the Audit Trigger
Improve the Audit Trigger

After completing this module, students will be able to:

Design DML triggers.
Implement DML triggers.
Explain advanced DML trigger concepts.

Module 11: Using In-Memory Tables

Module Overview

This module covers the creation of in-memory tables and native stored procedures and discusses the advantages and disadvantages of using in-memory tables.

Lessons

In-Memory Tables
Native Stored Procedures

Lab Sessions

In-Memory OLTP

Lab Lessons

Use Memory-Optimized Tables
Use Natively Compiled Stored Procedures

After completing this module, students will be able to:

Design and implement memory-optimized tables.
Create native stored procedures.

Module 12: Implementing Managed Code in SQL Server 2014

Module Overview

This module explains how to use CLR integrated code to create user-defined database objects that are managed by the .NET Framework.

Lessons

Introduction to SQL CLR Integration
Importing and Configuring Assemblies
Implementing SQL CLR Integration

Lab Sessions

Implementing Managed Code in SQL Server 2014

Lab Lessons

Assess Proposed CLR Code
Implement a CLR Assembly

After completing this module, students will be able to:

Explain the importance of SQL Server CLR Integration.
Import and configure assemblies.
Implement objects that have been created within .NET assemblies.

Module 13: Storing and Querying XML Data in SQL Server

Module Overview

This module introduces XML and shows how XML data can be stored within SQL Server and then queried, including queries written in a language called XQuery.

Lessons

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 Sessions

Storing and Querying XML Data in SQL Server 2014

Lab Lessons

Assess Appropriate Use of XML Data in SQL Server
Test XML Data Storage in Variables
Retrieve Information About XML Schema Collections
Query SQL Server Data as XML
Write a Stored Procedure That Returns XML

After completing this module, students will be able to:

Describe XML and XML schemas.
Store XML data and associated XML schemas in SQL Server.
Implement the XML data type within SQL Server.
Use the T-SQL FOR XML Statement.
Work with basic XQuery queries.
Shred XML to a relational form.

Module 14: Working with SQL Server 2014 Spatial Data

Module Overview

This module introduces Spatial Data, and explains how to work with SQL Server Spatial Data Types.

Lessons

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

Lab Sessions

Working with SQL Server Spatial Data

Lab Lessons

Become Familiar with the geometry Data Type
Add Spatial Data to an Existing Table

After completing this module, students will be able to:

Describe the importance of spatial data and the industry standards related to it.
Explain how to store spatial data in SQL Server.
Perform calculations on and query SQL Server spatial data.

Module 15: Incorporating Data Files into Databases

Module Overview

This module provides an overview of the options for storing data in a database in Microsoft® SQL Server® 2014 data management software, and the benefits of each storage type. It also explains the key factors to consider when you are planning to incorporate data files into your databases, and describes how you can use full-text indexes and semantic search functionality to search documents in various ways.

Lessons

Querying Data with Stored Procedures
Implementing FILESTREAM and File Tables
Searching Data Files

Lab Sessions

Implementing a Solution for Storing Data Files

Lab Lessons

Create a FileTable
Create and Use a Full-Text Index

After completing this module, students will be able to:

Describe the options for storing data files in SQL Server 2014 and plan an appropriate storage solution for a given scenario.
Explain how to implement FILESTREAM and FileTables.
Describe the benefits of full-text indexing and semantic search functionality, and explain how to use these features to search data in data files.

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