20762: Developing SQL Databases

Audience

The primary audience for this course is IT Professionals who want to become skilled on SQL Server 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 database.

Prerequisites

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

Duration

5 days.

Course Objectives

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

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 Content

Module 1: Introduction to Database Development
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
Designing Tables
Data Types
Working with Schemas
Creating and Altering Tables
Lab : Designing and Implementing 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
Partitioning Data
Compressing Data
Temporal Tables
Lab : Using Advanced Table Designs
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
Enforcing Data Integrity
Implementing Data Domain Integrity
Implementing Entity and Referential Integrity
Lab : Using Data Integrity Through 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
Core Indexing Concepts
Data Types and Indexes
Heaps, Clustered, and Nonclustered Indexes
Single Column and Composite Indexes
Lab : Implementing Indexes
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
Index Strategies
Managing Indexes
Execution Plans
The Database Engine Tuning Advisor
Query Store
Lab : Optimizing Indexes
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
Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes
Lab : Using Columnstore Indexes
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
Introduction to Views
Creating and Managing Views
Performance Considerations for Views
Lab : Designing and Implementing Views
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
Introduction to Stored Procedures
Working with Stored Procedures
Implementing Parameterized Stored Procedures
Controlling Execution Context
Lab : Designing and Implementing Stored Procedures
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
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
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
Designing DML Triggers
Implementing DML Triggers
Advanced Trigger Concepts
Lab : Responding to Data Manipulation by Using Triggers
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
Memory-Optimized Tables
Natively Compiled Stored Procedures
Lab : Using In-Memory Database Capabilities
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
Introduction to CLR Integration in SQL Server
Implementing and Publishing CLR Assemblies
Lab : Implementing Managed Code in SQL Server
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
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
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
Introduction to Spatial Data
Working with SQL Server Spatial Data Types
Using Spatial Data in Applications
Lab : Working with SQL Server Spatial Data
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
Considerations for BLOB Data
Working with FILESTREAM
Using Full-Text Search
Lab : Storing and Querying BLOBs and Text Documents in SQL Server
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
Concurrency and Transactions
Locking Internals
Lab : SQL Server Concurrency
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
Extended Events
Working with extended Events
Live Query Statistics
Optimize Database File Configuration
Metrics
Lab : Monitoring, Tracing, and Baselining
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.