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 Luton

Luton is a large town in the historic county Bedfordshire in the East of England with a population of around 216,800 according to 2011 census. It is situated 30 miles northwest of London and 22 miles southeast of Milton Keynes. London Luton Airport, one of the major airport of United Kingdom is located 1.7 miles east of the town centre and was opened in 1938. The town is home to the University of Bedfordshire and the English Football League Two team or League Two team is also based in the city. The town remained popular for its hat making business for many years. The headquarters of the Vauxhall Motors, one of the oldest vehicle manufacturers in Great Britain is based in the town. The largest one day carnival of Europe ‘Luton International Carnival’ is held every year in the Luton.

History

The traces of the early human settlement of the area was found at Mixes hill and Round Green. The 250,000 years old Palaeolithic encampments were also found at the same place. The remains of the Neolithic period included Waulud’s Bank is much more common. It has been believed that the town is discovered by the Anglo-Saxons in the 6^th century and named the city after River Lea. The town’s population was around 800, and the economy was based on the agriculture. The work of the St Mary’s Church was completed in 1137. In 1139, a motte and bailey castle was built, later on, it was demolished in 1154. The place of the castle is now occupied by British fashion and homeware retailer, Matalan. There were six watermills in the town during the Medieval Period.

In the 13^th century, a market for surrounding villages was held in the town every year. The second fair was granted to the town from 1338 with the growth of the town. The town was severally affected by the large fire in 1336. However, the town was rebuilt rapidly after the fire. The agriculture base of the town was replaced by brick making industry in the 16^th century, and many older wooden houses were rebuilt in brick. The Royalists entered the town during the English Civil War and demanded goods and money in the 17^th century. The royalists were attacked by parliamentary forces, and most of the royalists escaped from the town. The hat making industry dominated the economy of the town by the 18th century. The hat making business is still into operations but on the very smaller scale. In 1722, the first Luton Workhouse was built on Dunstable Road.

The population of the town was recorded 3095 in 1801. The town saw a large expansion in the 19th century resulted in the population of around 39,000 by 1901. The gas was supplied to the town in 1834 and gas street lights were elevated in 1847. The work of water and sewerage system was completed in 1860 followed by the major epidemic cholera spread in the town in 1848. The town gained the status of the borough in 1876. The hat making industry was replaced by other industries in the 20^th century. The largest car plant was opened by Vauxhall Motors in 1905 and employed 30,000 people. The production of cars was ended in 2000, and the plant closed in 2002.

Economy

Traditionally, the town’s economy has been based on Car manufacturing and engineering sector. The focus of the economy is now shifting to service industry particularly in the retail and airport sectors. However, the light industry still operates in the town. The town is home to the headquarters of the well-known firms including Monarch Airlines, EasyJet, Vauxhall Motors and Impellam Group. The principal employers in the town include Luton Borough Council, Aircraft Service International Group, Menzies Aviation, University of Bedfordshire and Luton and Dunstable University Hospital NHS Foundation Trust.

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