Developing SQL Databases
This 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.
Please note : following delegate feedback on the content delivered during this course, we run this over 5 days, not the standard 4. This will ensure all topics are convered and objecitves are met.
The primary audience for this course is IT Professionals who want to become skilled on SQL Server 2016 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 2016 database.
Suitability - Who should attend?
Working knowledge of Transact-SQL.
Working knowledge of relational databases
Training Course Content
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).
Working with Schemas
Creating and Altering Tables
Lab : Designing and Implementing Tables
Module 3: Advanced Table Designs
This module describes more advanced table designs.
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.
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.
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 Server
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