Developing SQL Databases

About this course

This five-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.

Please note : following delegate feedback on the content delivered during this course, QA run this over 5 days, not the standard 4. This will ensure all topics are convered and objecitves are met.

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

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

Indexes play an important role in enabling SQL Server to retrieve data from a database quickly and efficiently. This module discusses advanced index topics including covering indexes, the INCLUDE clause, query hints, padding and fill factor, statistics, using DMOs, the Database Tuning Advisor, and Query Store.

Lessons

  • Index Strategies
  • Managing Indexes
  • Execution Plans
  • The Database Engine Tuning Advisor
  • Query Store

Lab : Optimizing Indexes

  • Using Query Store
  • Heaps and Clustered Indexes
  • Creating a Covered Index

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

  • Create Stored procedures
  • Create Parameterized Stored procedures
  • Changes Stored Procedure Execution Context

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

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

Module 17: SQL Server Concurrency

This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. Concurrency control is a critical feature of multiuser database systems; it allows data to remain consistent when many users are modifying data at the same time. This module covers the implementation of concurrency in Microsoft SQL Server. You will learn about how SQL Server implements concurrency controls, and the different ways you can configure and work with concurrency settings.

Lessons

  • Concurrency and Transactions
  • Locking Internals

Lab : SQL Server Concurrency

  • Implement Snapshot Isolation
  • Implement Partition Level Locking

Module 18: Performance and Monitoring

This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. This module looks at how to measure and monitor the performance of your SQL Server databases. The first two lessons look at SQL Server Extended Events, a flexible, lightweight event-handling system built into the Microsoft SQL Server Database Engine. These lessons focus on the architectural concepts, troubleshooting strategies and usage scenarios.

Lessons

  • Extended Events
  • Working with extended Events
  • Live Query Statistics
  • Optimize Database File Configuration
  • Metrics

Lab : Monitoring, Tracing, and Baselining

  • Collecting and Analyzing Data Using Extended Events
  • Implementing Baseline Methodology
  • Basic knowledge of the Microsoft Windows operating system and its core functionality
  • Working knowledge of Transact-SQL
  • Working knowledge of relational databases

Auditoriniai mokymai

Pradžios data Trukmė, d. Kurso pavadinimas Kaina, € Statusas
Užklausti 5 20761: Querying Data with Transact-SQL 1500 Organizuojamas
Užklausti 5 20764: Administering a SQL Database Infrastructure 1500 Organizuojamas
Užklausti 5 20767: Implementing a SQL Data Warehouse 1500 Organizuojamas
Užklausti 4 10987: Performance Tuning and Optimizing SQL Databases 1400 Organizuojamas
Užklausti 5 20762: Developing SQL Databases 1500 Organizuojamas
Užklausti 5 20765: Provisioning SQL Databases 1500 Organizuojamas
Užklausti 3 10988: Managing SQL Business Intelligence Operations 1200 Organizuojamas
Užklausti 3 20768: Developing SQL Data Models 1200 Organizuojamas
Užklausti 3 10989: Analyzing Data with Power BI 1200 Organizuojamas
Užklausti 5 10990: Analyzing Data with SQL Server Reporting Services 1500 Organizuojamas

Nuotoliniai mokymai

Pradžios data Trukmė, d. Kurso pavadinimas Kaina, € Statusas
Užklausti 5 Administering a SQL Database Infrastructure (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Querying Data with Transact-SQL (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 3 Introduction to SQL Databases (nuotolinė klasė - ENG) 1200 Organizuojamas
Užklausti 5 Provisioning SQL Databases (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Querying Microsoft SQL Server (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Administering Microsoft SQL Server Databases (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 2 Querying SQL Databases Using T-SQL (nuotolinė klasė - ENG) 1100 Organizuojamas
Užklausti 2 Intermediate Querying SQL Databases Using T-SQL (nuotolinė klasė - ENG) 1100 Organizuojamas
Užklausti 5 Developing SQL Databases (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Implementing a SQL Data Models and Reports with Microsoft SQL Server (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Analyzing Data with SQL Server Reporting Services (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Implementing a SQL Data Warehouse (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Microsoft Business Intelligence end to end with SQL Server 2016 (nuotolinė klasė - ENG) 1500 Organizuojamas