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 Wolverhampton

Wolverhampton is a metropolitan borough and second largest part of the West Midlands with a population of around 249,470 according to 2011 census. The city was founded in 985, and the name of the city is derived from Wulfrun in the Anglo-Saxon period. Earlier, the city was developed as a market town particularly in the woollen trade. During the industrial era, it became a principal centre for steel production, cars and motorcycles manufacturing and coal mining. The city’s economy is based on the service sector as well as the engineering industry.

History

In 910, the city served as a battle site between the unified West Saxons and Mercian Angles against the raiding Danes. Initially, the city grew as a market town in 1179, but at that time the city did not own a royal charter for conducting a market and the matter brought to the attention of King John in 1204. The charter was eventually granted for holding a weekly market on a Wednesday by Henry III in 1258. The city was considered as one of the staple towns of the woollen trade in 14^th and 15^th century. The Wolverhampton Grammar School was founded in 1512 and known as one of the oldest active schools in the United Kingdom.

A large number of metal industries started their operations in the city from the 16^th century onwards, including the iron and brass working and lock and key making. The city was affected by two great fires in 1590, and 1696 resulted in the destruction of 60 homes and left nearly 700 people homeless. The first fire engine was purchased at the beginning of 18^th century after the second fire. The presence of extensive coal and iron deposits in the area contributed towards the wealth of the city in the Victorian era and huge amount of industries established in the city.

In 1837, the railways arrived the city and the first station was situated at Wednesfield Heath, also designated as a First Class station. The station was destroyed in 1965 and replaced by the centrally located station on Stour valley line. Wolverhampton railway works were settled in the city in 1849 and became Great Western Railway’s northern division workshop in 1854. During the Great Famine period of disease and mass starvation, a large number of immigrants from Wales and Ireland moved to the city in the 19^th century. The city was represented politically by the longest serving MP in parliamentary history, Charles Pelham Villiers.

The city saw a large expansion in bicycle industry from 1868 to 1975 with the establishment of more than 200 bicycle manufacturing companies included Marston, Star and Viking. The large volume of bicycles manufacturers left the city between 1960 and 1970. The public housing development project started in the city after the end of the Great War provided 550 new council houses by 1923. The first large-scale housing development took place in the northeast part of the city, Low Hill estate had more than 2000 new council houses and became one of the largest housing estates in the United Kingdom at that time. Huge Asian immigrants were settled in the city during the period (1940-1960), and Sikh community from the Indian state of Punjab contribute approximately 9.1% of the city’s population.

Economy

The economy of the city was initially based on automobiles, manufacturing and engineering industries. These traditional industries have closed over the years. Presently, the city is largely based on the service industry including the sectors of education, hotels, public administration and health, provide 74% employment to the workforce of the city. Another major employer of the city provided job to 12000 employees is Wolverhampton City Council. The city is home to Birmingham Midshires, University of Wolverhampton, Marston’s and Carillion.

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

Warwick

Watford

Windsor Town

Wokingham

Worcester

Wrexham

York