Implementing a Data Warehouse with Microsoft SQL Server (M20463)

Configure data warehouse using SQL Server

ABOUT THE PROGRAM

The course provides the essential knowledge to implement a data warehouse platform to support a business intelligence solution. The 5-day course covers the crucial capabilities across the SQL Server data platform and discusses new components of SQL Server 2014. During the course, the delegates will learn how to create a data warehouse, extract and transform data, configure SQL Server Integration Services and deploy SQL Server Master Data Services and Data Quality Services.

The course is specifically designed for database administrators and professionals who are responsible for creating and supporting data warehousing solution within an organization. The course teaches delegates to support incremental data extraction and data loading by implementing extracting, transforming and loading (ETL) process.  After the completion of the course, the delegates will be able to create business intelligence solutions, implement data warehouse and data cleansing and validating effectively.

  • Deploy and Configure SSIS packages effectively

  • Enforce data integrity using SQL Server Data Quality Services

  • Managing consistency by implementing ETL solutions

  • Manage and monitor the execution of deployed packages

  • Courses led by highly certified and well experienced Microsoft Server Instructors

WHAT'S INCLUDED ?

Find out what's included in the training programme.

Includes

Tutor Support

A dedicated tutor will be at your disposal throughout the training to guide you through any issues.

Includes

Key Learning Points

Clear and concise objectives to guide delegates through the course.

Includes

Exam(s) included

Exams are provided, as part of the course. Obtaining certification is dependant on passing these exams

Includes

Certificate

Delegates will get certification of completion at the end of the course.

PREREQUISITES

The delegates must have at least two years of working experience with relational databases. These include:

  • Designing tables and relationships
  • Querying with Transact-SQL
  • Creating a normalized database
  • Having knowledge of key business priorities and basic programming constructs

TARGET AUDIENCE

The course is intended for database administrators and professionals responsible for:

  • Designing SQL Server integration service package for extracting, loading and transforming data
  • Apply data quality services for cleansing data
  • Implementing a data warehouse
  • Use master data services for administering data integrity

WHAT WILL YOU LEARN?

  • Understand concepts and basic architecture of data warehouse
  • Able to design and implement a data warehouse
  • Describe an appropriate hardware platform for a data warehouse
  • Get to know the configuration of SSIS packages
  • Learn how to implement data flow and control flow in SSIS Package
  • Explain debugging and troubleshooting of SSIS packages
  • Describe how Microsoft data quality services use for data cleansing and validating
  • Understand SSIS expansion with custom scripts and components
  • Learn to implement a SSIS solution supporting extracting data and incremental data warehouse loads
  • Learn to enforce data integrity by implementing master data services
  • Describe how business intelligence solutions consume data in a data warehouse

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PROGRAM OVERVIEW

The course enables the delegates to implement an ETL solution that supports incremental data extraction and data loading. The course provides an opportunity to learn the key components and considerations of a data warehousing project and describes common approaches for handling errors in data flow and control flow. Throughout the course, the delegates will learn how to design and implement a data warehouse, deploy and configure SSIS packages and implement control flow and data flow in server integration packages.

Important information on implementing a Data Warehouse with Microsoft SQL Server exam

The course prepares the delegates to enable them to sit in the examination and cover the following aspects:

  • Design and Implement a Data Warehouse
  • Data loading
  • Extract and transform data
  • Deploy and configure SSIS Solutions
  • Building data quality solutions

                                                     


PROGRAM CONTENT

An Introduction to Data Warehousing

In this module, while undertaking data warehousing projects one must take into account the key components of data warehousing and other high-level considerations of SQL Server.

  • Overview of data warehousing
  • Understand its basic architecture
  • Understand the key elements of a data warehousing solution
  • Describe considerations for data warehousing solution

Planning Data Warehouse Infrastructure

In this module, the delegates will identify the parameters to consider for selecting data warehouse hardware and distributing SQL Server facilities across servers.

  • Considerations for Data Warehousing Infrastructure
  • Data Warehouse Reference Architectures and Appliances
  • Planning Data Warehouse Hardware

Design and implement Data Warehouse

The topic covers understanding about key factors for the logical design of data warehouse and then discuss best practices for physical implementation.

  • Overview of Data Warehouse design
  • Design dimension tables
  • Design fact tables
  • Physical design for data warehouse
  • Design and implement effective physical data structures

Create an ETL solution with SSIS

This topic elaborates considerations for implementing ETL process and then focus on Microsoft SQL Server Integration Services (SSIS) for building ETL solutions.

  • Understand process of ETL with SSIS
  • Describe key features of SSIS
  • Use SSIS for implementation of data flow
  • Explore data sources

Implementing Control Flow in a SSIS package

In this module, the delegates learn how to implement ETL solutions that consolidate multiple tasks and workflow logic.

  • Introduction to control flow
  • Use of task constraints to execute control flow
  • Develop dynamic packages including parameters and variables
  • Use containers in a package control flow
  • Techniques to manage consistency with checkpoints and transactions

Debugging and troubleshooting SSIS packages

This module discusses how you can debug packages to find the reason of errors occur during execution and also understand the logging functionality built into SSIS that can be used to log events for troubleshooting purposes. The delegates also get familiar with the basic approaches for handling errors in control flow and data flow.

  • Describe Debugging of a SSIS package
  • Logging SSIS package events
  • Techniques to handle errors in SSIS package

Implementing a Data Extraction Solution

This module covers the techniques that can be used to perform an incremental data warehouse refresh process.

  • Overview of Incremental ETL
  • Plan data extraction
  • Loading modified data

Loading data into Data Warehouse

In this module, the techniques used to implement data warehouse load process is covered.

  • Plan data loads
  • Use SSIS for incremental loads
  • Use Transact-SQL loading techniques

Enforce Data Quality

This module covers Microsoft SQL Server Data Quality Services (DQS) and describes how it can be used to cleanse and de-duplicate data.

  • Understand importance of Data Quality
  • Overview of Microsoft SQL Server Data Quality Services (DQS)
  • Using data quality services for cleansing and validating

Master data Services

This module describes how Master Data Services provides a way for organizations to standardize data and improve its quality, consistency, and reliability that helps in key business decisions. It also explains Master Data Services and its advantages of applying it.

  • Introduction to Master Data Services concepts
  • Implement Master Data Services model
  • Manage Master data
  • Create Master data hub

Extending SQL Server Integration services

This module covers the techniques to extend SSIS and also provide awareness of major steps required to use scripts in an ETL process and custom components based on SSIS.

  • Include custom scripts in SSIS package
  • Use custom components in SSIS to extend SSIS

Deploy and configure SSIS packages

The topics cover how to implement packages and their dependencies to the server.

  • Describe key elements of SSIS deployment
  • Deploy SSIS projects
  • Plan SSIS package execution
  • Monitor the implementation of deployed packages

Consuming Data in Data Warehouse

This module describes Business Intelligence solutions that data warehouse can use as a basis for enterprise and self-service BI lessons.

  • Understand BI and common scenarios of BI
  • Enterprise Business Intelligence
  • Describe reporting
  • Overview of data analysis
  • Big data and Self-Service BI

DATES, PRICES AND EVENTS

Course Name Dates Duration Price
Implementing a Data Warehouse with Microsoft SQL Server (M20463) 25/03/2019 Southampton
5 Days
£5495
Implementing a Data Warehouse with Microsoft SQL Server (M20463) 25/03/2019 Manchester
5 Days
£2795
Implementing a Data Warehouse with Microsoft SQL Server (M20463) 25/03/2019 Sheffield
5 Days
£5495
Implementing a Data Warehouse with Microsoft SQL Server (M20463) 01/04/2019 London
5 Days
£2795
Implementing a Data Warehouse with Microsoft SQL Server (M20463) 01/04/2019 Liverpool
5 Days
£5495
Implementing a Data Warehouse with Microsoft SQL Server (M20463) 01/04/2019 Norwich
5 Days
£5495
Implementing a Data Warehouse with Microsoft SQL Server (M20463) 08/04/2019 Birmingham
5 Days
£2795
Implementing a Data Warehouse with Microsoft SQL Server (M20463) 08/04/2019 Edinburgh
5 Days
£3495
Implementing a Data Warehouse with Microsoft SQL Server (M20463) 08/04/2019 Cambridge
5 Days
£5495
Implementing a Data Warehouse with Microsoft SQL Server (M20463) 15/04/2019 Canterbury
5 Days
£7499