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 Guildford

Guildford, a large town in Southern England is located on the A3 trunk road with a population of around 137,000 according to 2011 census. It is located 27 miles southwest of central London and it forms the Greater London Area’s southwestern tip. The town has been the seat of Borough of Guildford with 146,100 inhabitants recorded in 2015. According to the recent historical survey, Guildford came into existence as a result of a gap where River Wey was crossed over by the Harrow Way in the North Downs.

English Royal Mint was established in 978 AD and remained in the town until part way through the reign of William. The economy of the town boomed after being connected to a network of waterways on the building of the Wey Navigation and Basingstoke Canal. Guildford Cathedral and the University of Surrey were built in the 20^th century. Guildford is considered as a robust commercial town and home to major businesses include Allianz and Sanofi, Lionhead Studios, Philips Electronics, Ericsson, Hello Games and Colgate-Palmolive. A number of leading companies including satellite manufacturers, medical and specialist gas providers are based in the Surrey Research Park.

History

The history of the city traced its roots back to the Anglo-Saxon period. Some Bronze Age remaining including Roman villa has been found in the western Park Barn neighborhood of the town. After the abandonment of Roman period in Britain, Anglo-Saxon settlers developed the settlement as a small town. The population of the settlement grew as an ancient trackway Harrow Way crosses the Wey River by a ford. Although there are no clear pieces of evidence, it is assumed that Guildford Castle depicts the architectural style of Norman period. The layout of the castle was designed to overawe the conquered population. The status of the castle was then changed to the royal hunting lodge and granted to Francis Carter in 1611.

The remaining chamber of Guildford Synagogue was found in the High street in 1995. It is likely to be the Western Europe’s oldest remaining synagogue, but this remains a matter of controversy. The other notable building of the town includes Guildhall, which was built in the 14^th century and still stands today. The Council chamber was also added in the existing structure and front façade of the building was decorated by the projecting clock. The Borough Council constructed 18 communal air raid shelters provided first aid and sanitation services during the Second World War.

The two pubs of the town were the prime target of Irish Republican Army and they planted a bomb resulted in the death of a civilian and four off-duty soldiers. Some suspects of this case also known as Guildford Four were found guilty in 1975 and sentenced to long prison sentences. Later on, they were released after a long legal battle and denied their involvement in the bombing. The town entered into the new phase of development in the 21^st century and considered as one of the most expensive places in real estate sector in the UK outside London and ranked 9th in the Britain in 2006 for the best place to live in. The town is also ranked 27^th for its pleasing and safe shopping destination in the United Kingdom.

Education

Guildford follows three-tier education system and there are several primary, junior and secondary schools in the town include Holy Trinity, Boxgrove Primary school, Guildford County school and Christ’s college. There are some independent schools in the town that include Royal Grammar School, Lanesborough School, Tormead School and Rydes Hill Preparatory School. For higher education, the University of Surrey and the University of Law has their campuses in the town, while other colleges include Academy of Contemporary Music and Guildford College of Further and Higher Education.

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