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 High Wycombe

High Wycombe is an English town in the county of Buckinghamshire with a population of around 124,475 in 2015 according to ONS official estimates.it is also commonly known as Wycombe. It is the second largest town lies 27 miles southeast of Oxford, 29 miles northwest of London and 23 miles northeast of Reading. The wealth of the town is primarily based on the production of the furniture. The town is considered as a blend of both market and industrial town. The city consists an unparished area lies in the district of Wycombe and not covered by an administrative division of local government. The civil parish area of the town depicts the ancient parish of Chepping Wycombe and had a population of around 14000 in 2001 census. The part of the urban area is not covered under the control of municipal borough of the town. The town is surrounded by various suburbs including Bowerdean, Cressex, Terriers, Booker and Wycombe Marsh.

History

It has been proposed that the name of Wycombe was first recorded as Wichama in 799-802 meaning the dwellings. Some stated that the name originated from the Wye River and a wooded valley combe. The Roman villa dates back to the 150-170 AD was found during the excavation executed in 1954. The town is the birthplace of the 19^th century notable Prime Minister Benjamin Disraeli. The early settlement of the town was first recorded as Wicumun in 970. The market borough status was granted to the town in the 12^th century, and the first moot hall, meeting or assembly building for deciding local issues was first built in 1226.

During the Middle Age and Tudor period, the town was considered as a mill town, focused on the manufacturing of the lace and linen cloth. The town served as a halting point for travellers coming from Oxford to London and travellers used to stay in the lodges and motels. Due to the richness of chalk in the water of River Wye, the paper industry flourished in the 17^th and 18^th century. Later on, the cloth industry replaced the paper industry. The furniture factories started setting up their base all over the town and most popular furniture industry, Windsor chairs took possession in the 19^th century. Large terraced houses were constructed to accommodate the workforce engaged in the furniture factories.

Many locally made chairs and the useful information on the lace industries and local furniture is displayed and restored in the Wycombe Museum. The social and economic condition of the city was completely dependent on the furniture industry. The decline of the furniture industry in 1960 brought significant social problems and unemployment in the town. A large number of housing areas were fallen into slums and even completely demolished under the slum clearance scheme in 1932. The girls’ school of the town became a base for 8^th Air Force Bomber Command during the Second World War, later on, the site became their headquarters in 1944.

Recently, many redevelopment projects have planned in the town including the expansion of existing shopping centre, construction of multi-story car parks, redevelopment of the town centre and Buckinghamshire New University and completion of the new Eden Shopping centre. These developments further stimulated the construction of new multimillion-pound hotel and Sainsbury store next to the Eden shopping centre.

Education

The town follows a selective educational system based on the tripartite system of education in England and Northern Ireland. There are several primary, secondary and independent schools in the town. Among those, few are Booker Hill Combined School, Marsh Infants School, Cressex Community School, Wycombe High School, Crown House School and Wycombe Abbey. The town is served by Amersham and Wycombe College and Buckinghamshire New University for further and higher education. The main campus of the new university lies on the former site of College of Art and Technology of High Wycombe.

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