20464: Developing Microsoft SQL Server Databases Training in Woodland

Enroll in or hire us to teach our 20464: Developing Microsoft SQL Server Databases class in Woodland, California by calling us @303.377.6176. Like all HSG classes, 20464: Developing Microsoft SQL Server Databases may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, 20464: Developing Microsoft SQL Server Databases may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.

Course Description

 
This 5-day instructor-led course introduces SQL Server 2014 and describes logical table design, indexing and query plans. It also focuses 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.
Course Length: 5 Days
Course Tuition: $2090 (US)

Prerequisites

This course requires that you meet the following prerequisites: Knowledge of writing T-SQL queries. Knowledge of basic relational database concepts. -

Course Outline

 

Module 1: Introduction to Database Development
This module introduces database development and the key tasks that a database developer would typically perform.

Lessons

    Introduction to the SQL Server Platform
    Working with SQL Server Tools
    Configuring SQL Server Services

Lab: Introduction to Database Development

    Start SQL Server Management Studio

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

Lessons

    Designing Tables
    Working with Schemas
    Creating and Altering Tables

Lab: Designing and Implementing Tables

    Improving the Design of Tables
    Creating a Schema
    Creating the Tables

After completing this module, you will be able to:

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

Module 3: Ensuring Data Integrity through Constraints
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: Ensuring Data Integrity through Constraints

    Designing Constraints
    Testing the constraints

After completing this module, you 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
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
    Single Column and Composite Indexes
    SQL Server Table Structures
    Working with Clustered Indexes

Lab: Creating Indexes

    Creating Tables with Clustered Indexes
    Improving Performance through Nonclustered Indexes

After completing this module, you will be able to:

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

Module 5: Advanced Indexing
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

    Execution Plan Core Concepts
    Common Execution Plan Elements
    Working with Execution Plans
    Designing Effective Nonclustered Indexes
    Performance Monitoring

Lab: Planning for SQL Server 2014 Indexing

    Exploring Existing Index Statistics
    Creating Covering Indexes

After completing this module, you 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
This module explains columnstore indexes, introduces clustered and nonclustered columnstore indexes, and discusses considerations for using columnstore indexes.

Lessons

    Columnstore Indexes
    Best Practices for Columnstore Indexes

Lab: Using In-Memory Database Capabilities

    Creating Columnstore Indexes

After completing this module, you will be able to:

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

Module 7: Designing and Implementing Views
This module introduces Views, and explains how to create and manage Views. Also it focusses on the performance consideration for Views.

Lessons

    Introduction to Views
    Creating and Managing Views
    Performance Considerations for Views

Lab: Designing and Implementing Views

    Designing, Implementing and Testing the WebStock Views
    Designing and Implementing the Contacts View
    Modifying the AvailableModels View

After completing this module, you 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
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: Designing and Implementing Stored Procedures

    Creating stored procedures
    Creating a parameterized stored procedure
    Altering the execution context of stored procedures

After completing this module, you 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
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: Designing and Implementing User-Defined Functions

    Formatting Phone Numbers
    Modifying an Existing Function
    Resolving a Function-Related Performance Issue

After completing this module, you 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
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: Responding to Data Manipulation via Triggers

    Creating and Testing the Audit Trigger
    Improving the Audit Trigger

After completing this module, you will be able to:

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

Module 11: Using In-Memory Tables
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

    Memory-Optimized Tables
    Native Stored Procedures

Lab: Using In-Memory Database Capabilities

    Working with Memory Optimized Tables
    Working with Natively Compiled Stored Procedures

After completing this module, you will be able to:

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

Module 12: Implementing Managed Code in SQL Server
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: Implementing Managed Code in SQL Server

    Assessing Proposed CLR Code
    Implementing a CLR Assembly
    Implementing a CLR User-defined Aggregate and CLR User-defined Data Type

After completing this module, you 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
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
    Shredding XML

Lab: Storing and Querying XML Data in SQL Server

    Assessing appropriate Use of XML Data in SQL Server
    Testing XML Data Storage in Variables
    Retrieving Information about XML Schema Collections
    Querying SQL Server Data as XML
    Write a Stored Procedure Returning 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 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 Spatial Data
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: Working with SQL Server Spatial Data

    Querying the Geometry Data Type
    Adding Spatial Data to an Existing Table

After completing this module, you 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.

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