Implementing a Data Warehouse with Microsoft SQL Server (M20463) | MSP Training

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.

Tutor Support

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

Key Learning Points

Clear and concise objectives to guide delegates through the course.

Exam(s) included

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

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

Implementing a Data Warehouse with Microsoft SQL Server (M20463) Enquiry

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ABOUT Burton Upon Trent

Burton upon Trent is situated on the bank of river Trent close to the border with Derbyshire. As per the 2011 census, the population of the town was 72 thousand 300. The local people of the town is known as “Burtonian”. Burton is famously known for the production of beer, mostly with ingredient barley. The region of the Burton Bridge witnessed two wars. In the first war of 1322, the Earl of Lancaster was defeated by Edward II. The second war also called First English Civil War and it fought in 1643. In this war, Royalists captured the whole town. On the beginning of the modern period, it was a busy market town. The Burton-On-Trent is the main railway station of the town.

History

Ryknild Street which is built by Romans ran through Burton that connects camps at Letocetum, Lichfield, and Derventio. Later, it became a small district of Burton. During the 12^th century, King John granted a royal charter to Abbot to hold a market every Thursday. Later on, the charter was renewed by other two kings i.e King Henry III and King Henry IV. Candlemas Day was one of the major annual fairs where trading of horses happened in large scale. Now, this fair is no longer celebrated in the other parts of England. During the Industrial Revolution, the Peel family plays an important role. In 2002, the Queen Elizabeth II visited the town for the celebration of the Golden Jubilee.

Government

The east Staffordshire Region is administered by Burton. The present MP is Andrew Griffiths. In the beginning of the 19^th century, it became County Borough. The population was 50,000 at that time.

Geography and Demography

The capital city London is 109 miles from Burton. Another famous city Birmingham is just 30 miles far from it. The Derby region is much nearer to Burton than Stafford. The Trent and Mersey canal is also near to the city. A reserved area for Animals i.e National forest is north of the city. The town is situated at the altitude of 50 m from the sea level. Two villages of the town are even located at more height than 50 m. The water of the Town contained a high percentage of dissolved salts. The quality of the water is favourable for the brewing industry. The latest population census came in 2011. As per the census, the Population of the town was 72 thousand 300.

Economy

Since many years, the brewing industry has been growing with fast speed. It is still one of the major sources of income for the city. Some famous breweries are Coors Brewers Ltd, Molson Coors, Marston and much more in the row. The Burton Bridge Brewery i.e local company produces a number of famous beers such as Golden Delicious, Damson Porter, Stairway to Heaven and Bridge Bitter. The renowned brands such as Punch Taverns and Spirit Pub Company also have their headquarters in the city. The major tyre manufacturer provides much job opportunities to local people.

Transport

River Trent flows through Burton. A small ferry operated in the river since time immemorial. The Burton Old Bridge replaced by Ferry Bridge. A national level facility for bicycle commuters is also there.

Sports

There are total four separate football clubs that have been representing in the Football League. The clubs such as Lichfield Cricket Club, Dunstall Cricket Club, Burton Cricket Club and Yoxall participate in Burton and District Cricket league. The Burton Rugby Football Club recognised as oldest rugby union. It also has its International Weightlifting Team. The Powerhouse Gym club trains all round weightlifters.

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