20762MOD: Developing SQL Databases

The Bundle Includes:
1-year access to high quality online training videos
Electronic Book (Workbook / Lab Guide)
Exam prep Guide
Exam voucher

All Prices Are in Candian Dollars

Price :

$1,100.00

Description

About this On Demand Course

The Microsoft on-demand product is an integrated on-line training experience that includes video, labs, exercises, text and knowledge checks. Attendees experience all of this through an on-demand course player.

What’s included?

  • Access to the official Microsoft Video on Demand Course for 90 days from the point of first access, allowing you to start and stop when you need to.
  • Lab access for 3 months from start of access.
  • Digital edition of the Microsoft Official Curriculum (DMOC) manual for reference throughout your course. All DMOC come with fresh editions so your courseware will always be up to date.
  • MCT Support via our Microsoft Training Support Yammer Group (you will be invited to the group after registration)

The content is based on the same official courseware we use in our instructor-led training, and videos feature engaging experts hand-selected by Microsoft. Unlike other on-demand offerings that offer simulated labs, MOC On-Demand gives you a live, real-time environment for hands-on training.

Note: Labs in this course are based on the General Availability release of Windows Server 2012 R2 and Windows 8.1.

 

About this course

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.

 

Audience profile

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.

 

Prerequisites

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

 

 

At course completion

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 Outline

 

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.

 

Lessons

  • 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).

 

Lessons

  • 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.

 

Lessons

  • 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.

 

Lessons

  • 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.

 

Lessons

  • 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.

 

Lessons

  • Covering Indexes
  • Managing Indexes
  • Execution Plans
  • Using the DTE

 

Lab: Designing Optimized Index Strategies

 

Module 7: Columnstore Indexes

This module introduces Columnstore indexes.

 

Lessons

  • 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.

 

Lessons

  • 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.

 

Lessons

  • 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).

 

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

 

Module 11: Responding to Data Manipulation via Triggers

This module describes the design and implementation of triggers.

 

Lessons

  • 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.

 

Lessons

  • In-Memory tables
  • Native Stored Procedures

 

Lab: In Memory OLTP

 

After completing this module, you will be able to:

  •  Implement in-memory tables
  • Implement native stored procedures

 

Module 13: Implementing Managed Code in SQL Server

This module describes the implementation of and target use-cases for SQL CLR integration.

 

Lessons

  • 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.

 

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

 

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.

 

Lessons

  • 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.

 

Lessons

  • 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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