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.
Lesson objectives help students become comfortable with the course, and also provide a means to evaluate learning. Upon successful completion of 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.
To ensure successful completion of this course, we recommend the following:
· Basic knowledge of the Microsoft Windows operating system and its core functionality.
· Working knowledge of Transact-SQL.
· Working knowledge of relational databases.
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.
· Introduction to the SQL Server Platform
· SQL Server Database Development Tasks
· Lab : 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).
· Designing Tables
· Data Types
· Working with Schemas
· Creating and Altering Tables
· Lab : Designing and Implementing Tables
Module 3: Advanced Table Designs
· This module describes more advanced table designs.
· Partitioning data
· Compressing Data
· Temporal Tables
· Lab : Using Advanced Table Designs
Module 4: Ensuring Data Integrity through Constraints
· This module describes the design and implementation of constraints.
· Enforcing data Integrity
· Implementing Domain Integrity
· Implementing Entity and Referential Integrity
· Lab : Ensuring Data Integrity through 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.
· Core Indexing Concepts
· Data Types and Indexes
· Single Column and Composite Indexes
· Lab : Implementing Indexes
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.
· Covering Indexes
· Managing Indexes
· Execution Plans
· Using the DTE
· Lab : Designing Optimized Index Strategies
Module 7: Columnstore Indexes
· This module introduces Columnstore indexes.
· Introduction to Columnstore indexes
· Creating Columnstore indexes
· Working Columnstore indexes
· Lab : Using Columnstore indexes
Module 8: Designing and Implementing Views
· This module describes the design and implementation of views.
· Introduction to views
· Creating and managing views
· Performance considerations for views
· Lab : Designing and Implementing Views
Module 9: Designing and Implementing Stored Procedures
· This module describes the design and implementation of stored procedures.
· Introduction to Stored Procedures
· Working with Stored Procedures
· Implementing Parameterized Stored Procedures
· Controlling Execution Context
· Lab : Designing and Implementing Stored Procedures
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).
· 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 11: Responding to Data Manipulation via Triggers
· This module describes the design and implementation of triggers.
· Designing DML Triggers
· Implementing DML Triggers
· Advanced Trigger Concepts
· Lab : Responding to Data Manipulation via Triggers
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.
· In-Memory tables
· Native Stored Procedures
· Lab : In Memory OLTP
Module 13: Implementing Managed Code in SQL Server
· This module describes the implementation of and target use-cases for SQL CLR integration.
· Introduction to SQL CLR Integration
· Importing and Configuring Assemblies
· Implementing SQL CLR Integration
· Lab : Implementing Managed Code in SQL Server
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.
· 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 : Storing and Querying XML Data in SQL Server
Module 15: Working with SQL Server Spatial Data
· This module describes spatial data and how this data can be implemented within 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
Module 16: Storing and Querying Blobs and Text Documents in SQL Server
· This module covers full text indexes and queries.
· Considerations for BLOB Data
· Working with FileStream
· Using Full-Text Search
Lab : Storing and Querying Blobs and Text Documents in SQL