Microsoft SQL Server 2016Databases Course

Students will learn logical table design, indexing and query plans, as well as the creation of database objects including views, and 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.

Instructor Led Learning

Duration: 5 Days
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Video Learning

Duration: 5 Days
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What you will learn

• Introduction to Database Development
• Designing and Implementing Tables
• Ensuring Data Integrity through Constraints
• Introduction to Indexing
• Advanced Indexing
• In-Memory Database Capabilities
• Designing and Implementing Views
• Designing and Implementing Stored Procedures
• Designing and Implementing User-Defined Functions
• Responding to Data Manipulation via Triggers
• Using In-Memory Tables
• Implementing Managed Code in SQL Server
• Storing and Querying XML Data in SQL Server
Working with SQL Server Spatial Data

Basic computer skills

Computers made easy course

FULL COURSE OUTLINE

20464 Developing Microsoft SQL Server 2016 Databases

Module 1: Introduction to Database Development

  • Introduction to the SQL Server Platform
  • Working with SQL Server Tools
  • Configuring SQL Server Services
  • Lab : Introduction to Database Development

Module 2: Designing and Implementing Tables

  • Designing Tables
  • Working with Schemas
  • Creating and Altering Tables
  • Lab : Designing and Implementing Tables

Module 3: Ensuring Data Integrity through Constraints

  • Enforcing Data Integrity
  • Implementing Domain Integrity
  • Implementing Entity and Referential Integrity
  • Lab : Ensuring Data Integrity through Constraints

Module 4: Introduction to Indexing

  • Core Indexing Concepts
  • Single Column and Composite Indexes
  • SQL Server Table Structures
  • Working with Clustered Indexes
  • Lab : Creating Indexes

Module 5: Advanced Indexing

  • Execution Plan Core Concepts
  • Common Execution Plan Elements
  • Working with Execution Plans
  • Designing Effective Non clustered Indexes
  • Performance Monitoring
  • Lab : Planning for SQL Server 2014 Indexing

Module 6: In-Memory Database Capabilities

  • The Buffer Pool Extension
  • Columnstore Indexes
  • Lab : Using In-Memory Database Capabilities

Module 7: Designing and Implementing Views

  • Introduction to Views
  • Creating and Managing Views
  • Performance Considerations for Views
  • Lab : Designing and Implementing Views

Module 8: Designing and Implementing Stored Procedures

  • Introduction to Stored Procedures
  • Working With Stored Procedures
  • Implementing Parameterized Stored Procedures
  • Controlling Execution Context
  • Lab : Designing and Implementing Stored Procedures

Module 9: Designing and Implementing User-Defined Functions

  • 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 10: Responding to Data Manipulation via Triggers

  • Designing DML Triggers
  • Implementing DML Triggers
  • Advanced Trigger Concepts
  • Lab : Responding to Data Manipulation via Triggers

Module 11: Using In-Memory Tables

  • Memory-Optimized Tables
  • Native Stored Procedures
  • Lab : Using In-Memory Database Capabilities

Module 12: Implementing Managed Code in SQL Server

  • Introduction to SQL CLR Integration
  • Importing and Configuring Assemblies
  • Implementing SQL CLR Integration
  • Lab : Implementing Managed Code in SQL Server

Module 13: Storing and Querying XML Data 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
  • Shredding XML
  • Lab : Storing and Querying XML Data in SQL Server

Module 14: Working with SQL Server Spatial Date

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

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