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

Enquire Program

Fill in the form below & we'd get back to you.

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

Enquire Now

----- OR -------

Reach us at 0121 368 7851 or info@msptraining.com for more information.

ABOUT Warwick

Warwick, the county town of Warwickshire lies upon the blend of the River Avon in the West Midland region of the England. It is located 11 miles south of Coventry with a population of around 31,345 according to 2011 census. The early settlement of the area was found in the Neolithic period. In the 9^th century, it was the fortified settlement of the Saxons, also known as Saxon burh. During the Norman invasion of England, Warwick castle was built in the 11^th century by William the Conqueror. An independent Warwick School is considered fifth oldest surviving boy’s school in the country. Many companies have set up their head offices in the town due to its close proximity to the motorway routes.

The human settlement of the area dates back to the Neolithic period. The area has been continuously occupied from the sixth century. A fortified settlement was developed at Warwick to protect the Kingdom of Mercia against the Danes. Warwick, due to its closeness with Avon and Fosse Way, was chosen as one of the ten burhs for fortification. In the medieval period, the earls of Warwick was established, and they had taken control of the city. The town walls or defensive walls were built to protect the town from the potential attackers, and presently only Westgate and Eastgate survive.

The Warwick castle became a famous tourist attraction, the castle was first converted into a stone fortress and then a country house. In 1694, the medieval town was severally affected by the Warwick Great Fire. The administration of the town is governed by Warwick District Council. The headquarters of the county council of Warwickshire is based in the town and controls the non-metropolitan county of Warwickshire. The town was affected by the Great Warwick Fire in the 17^th century and destroyed much of the medieval town. Although, only older wooden buildings survive around the fringes of the town centre.

Transport

M40 motorway connects the town with the cities of Birmingham and London and A46 road connected to the Stratford-upon-Avon and Coventry. Several council off-street car parks are built in the town such as at the castle and the railway station. Warwick Railway Station serves the town and has direct rail services to London, Stratford-upon-Avon and Birmingham. London Midland operates few peak hours trains to and from Birmingham. Parkway Railway Station is situated on the periphery of Warwick and provides commuter services to Birmingham and London. Bus services are operated in and around the county of Warwickshire by ‘Stagecoach in Warwickshire’.

Education

There are several secondary schools and state-run co-educational schools including Myton School, The King’s High School, Aylesford School and Warwick School. For higher education, the town is served by the University of Warwick lies on the southern edge of Coventry and several miles north of Warwick.

Attractions

The town is famous among the tourists for its historic charm and grand castle including the popular Literary and Folk Festivals as well as the well-known Victorian Evening. There are many museums and attractions from every era from the last thousand years include Warwick Castle, Lord Leycester Hospital, St Mary Collegiate Church, Royal Leamington Spa, The Mill Garden, Hill Close Gardens, The New Avon Bridge and much more exciting locations.

Notable Residents

The well-known people of the town in the fields of politics, sports, architecture, journalists, artists, medical and education include:

John Rous
Anne Neville
Thomas Fisher
Edward Plantagenet
Abiezer Coppe
John Ryland
William Lambe
William Holland
George Greville
Thomas Smith
Farn Carpmael
Margaret Harrington
Aaron Philips
Naomi Phoenix
Paul Goodwin
Philip Bromley
Thomas Collins
Matty Blair
Josiah Court
Kevin R. Cox
Aaron Philips

TRAINING AVAILABILITY

Aberdeen

Bath

Bedford

Belfast

Birmingham

Bolton

Bournemouth

Bracknell

Brighton

Bristol

Bromley

Burton Upon Trent

Buxton

Cambridge

Canterbury

Cardiff

Carlisle

Chatham

Chelmsford

Chester

Chichester

Chorley

Cirencester

Colchester

Corby

Coventry

Crewe

Darlington

Derby

Dereham

Doncaster

Dublin

Dundee

Dunfermline

Eastleigh

Edinburgh

Exeter

Fleet

Gatwick

Glasgow

Gloucester

Guildford

Harrogate

Heathrow

High Wycombe

Hinckley

Inverness

Ipswich

Jersey

Kingston upon Hull

Leeds

Leicester

Lincoln

Liverpool

London

Luton

Maidstone

Manchester

Middlesbrough

Milton Keynes

Newcastle

Northampton

Norwich

Nottingham

Oxford

Peterborough

Plymouth

Poole

Portsmouth

Preston

Reading

Sheffield

Slough

Solihull

Southampton

Stoke-on-Trent

Sunderland

Swansea

Swindon

Teesside

Tonbridge

Tredegar

Wakefield

Warrington

Watford

Windsor Town

Wokingham

Wolverhampton

Worcester

Wrexham

York