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 Bath

Bath city is a largest city in the Lieutenancy areas of England. The city has geographical area of 11 squares miles with 88,859 population in 2011. The bath city is situated in the valley of the river Avon which is 97 miles west of capital city,London. The city is also near to Bristol town. This city is well-known for its hot springs, which further lead to Spa Industry. On arrival of Romans, they built a temple and baths in the valley of river Avon. As per the previous records, the hot springs were present there since ancient time. But the site got explored when Romans entered the city. The 7^th century, centre known as Bath Abbey went through renovations in 12^th and 16^th centuries. In 17^th century, it became belief of local people that this water is special one and has so many curative properties. It brought both the popularity and tourists to the town. Apart from this, It offers a wide range of attractions including restaurants, businesses, theatres and city tours with 4.4 million visitors each year. The historic Roman Baths and Thermae Bath Spa giving their services to the city.

History

Earlier the motive of the Romans while constructing the bath was to used it for medicinal purposes. But the popularity of the water rose very quickly, so it was used for other purposes as well. In the medieval period, the wool industry went extra mile in production as new equipment and tool were introduced .They focused in the industry well and took it to new height. The town get distinguished after the introduction of neoclassical Palladian art, literature, and building under regime of George I,II, and III in the 18^th century . Romans used this bath for their Pleasure. Number of baths were built after one another. Most of them built near hot springs. The Minerva goddess temple also built alongside one bath. In 3^rd century, Walls built near boundary to save it from attack. Following collapse of Roman Empire, the town expanded nearly 760. King Offa constructed An abbey, dedicated to St. Peter. In the 15^th century, the Abbey church of Bath city was broken down.

Culture

During the 18th century bath became the centre of fashionable life in England and attracted internationally renowned companies and directors with its five famous theatres. The city hosts the annual Bath International Music Festival and Mozartfest, the yearly Bath Literature Festival, and the Bath Film Festival.The Bath city is home to the Victoria Art Gallery (which is named after Queen Victoria), the Museum of East Asian Art, and Holburne Museum, as well as some other museums.

Climate

The climatic condition of Bath is far cry from rest of the country. The variation in the seasonal temperature is less as compared to the most of the United Kingdom due to adjacent sea temperature. In summer the maximum temperature is maximum to 21° C whereas minimum temperature goes to 1° or 2° C in winter. The average rainfall is near about 700mm with typically 8 to 15 days of snowfall.

Education

The Bath city has sufficient number of educational schools . It has two universities, the University of Bath which was established in 1996 offering programs in languages, engineering, architecture, politics etc. with 17,308 students out of which more than 30% are from outside the UK. Second is Bath Spa University which was given degree-awarding powers in 1992 and university status in 2005 offering courses leading to a Postgraduate certificate in education. The city has private and public schools, several sixth forms as part of state, Bath College, and one education college.

TRAINING AVAILABILITY

Aberdeen

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

Wolverhampton

Worcester

Wrexham

York