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Developing SQL Databases MOC 20762 (70-762)

  • nov 18
    mandag 18/11/2019 - fredag 22/11/2019
    09:00 - 16:00 Hillerød
    • Kr.21,995.00 ekskl. MOMS
    Ekskl. moms
  • nov 18
    mandag 18/11/2019 - fredag 22/11/2019
    09:00 - 16:00 Aarhus
    • Kr.21,995.00 ekskl. MOMS
    Ekskl. moms
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Kursusinfo

  • Dette kursus varer 5 dage
  • Der medfølger kursusmateriale til dette kursus
  • Dette kursus koster 6 klip på dit klippekort.
  • Fuld forplejning (Morgenmad, frokost, kage, kaffe og sodavand ad libitum)
  • Fuld beståelsesgaranti er inkluderet i prisen - Læs mere her
  • Eksamen er inkluderet i prisen
  • Med i prisen hører Practice Test
  • Du har i alt adgang til din kursus-pc i 3 uger

Varighed

Dette kursus varer 5 dage

Materialer

Der medfølger kursusmateriale til dette kursus

Klip på klippekort

Dette kursus koster 6 klip på dit klippekort.

Forplejning

Fuld forplejning (Morgenmad, frokost, eftermiddagskage samt kaffe og sodavand ad libitum)

Garanti for beståelse

Fuld beståelsesgaranti er inkluderet i prisen - Læs mere her

Eksamen

Alle eksamensforsøg er inkluderet i prisen

Practice Tests

Med i prisen hører Practice Test

Remote adgang

Du har i alt adgang til din kursus-pc i 3 uger

Microsoft Vouchers

5 vouchers + 4.950 kr. for Certificeringspakken.
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"Developing SQL Databases" er et af de nye certificeringsrettede SQL Server 2016 kurser fra Microsoft. I alt kommer der 6 nye certificeringer, som leder op til 3 nye Microsoft MCSA SQL Server 2016 titler. For at opnå en MCSA SQL Server 2016 skal man bestå 2 eksamener.

 "Developing SQL Databases" indgår som andet kursus i titlen: MCSA SQL Server 2016 Database Development, som du kan læse mere om her

About this course

This three-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.

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
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
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
After completing this module, you will be able to:
Design Tables
Describe the various types of data
Be able to work with schemas
Be able to create and amend 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
After completing this module, you will be able to:
Describe how data can be partitioned
Describe how data can be compressed.
Describe Temporal tables

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
After completing this module, you will be able to:
Describe how to enforce data integrity
Describe how to implement domain integrity
Describe how to implement entity and referential integrity

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
After completing this module, you will be able to:
Explain the need for indexes and describe the core concepts of index design
Choose appropriate data types for indexes
Design single column and composite 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
After completing this module, you will be able to:
Choose an appropriate table structure
Implement clustered indexes and heaps

Module 7: Columnstore Indexes
This module introduces Columnstore indexes.

Lessons
Introduction to Columnstore indexes
Creating Columnstore indexes
Working Columnstore indexes

Lab : Using Columnstore indexes
After completing this module, you will be able to:
Describe suitable scenarios for Columnstore indexes
Create clustered and non-clustered Columnstore indexes
Describe considerations for updating non-clustered Columnstore indexed tables

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
After completing this module, you will be able to:
Explain the concept of views
Design, Create and Alter Views
Create Partitioned 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
After completing this module, you will be able to:
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
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
After completing this module, you will be able to:
Design, create and alter scalar functions
Design, create and alter table-valued functions
Describe the performance impacts of 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
After completing this module, you will be able to:
Design DML triggers
Implement DML triggers
Work with Nested and Recursive 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
After completing this module, you will be able to:
Describe SQL CLR Integration
Detail appropriate use cases for SQL CLR Integration
Implement SQL CLR code

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
After completing this module, you will be able to:
Explain the purpose and structure of XML and XML schemas
Describe how XML data and schemas can be stored in SQL Server
Implement the XML data type

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
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
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
After completing this module, you will be able to:
Describe the need for full-text indexing in SQL Server
Implement a full-text index
Perform basic full-text queries

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