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 Darlington

Darlington is a large and historic market town and county in North East England with a population of around 92,363 according to 2011 census. It is located on the Skerne River, known as the tributary of the Tees River. The town lies on the south Durham which is close to the Tees River, also serves as a border between the Yorkshire and Durham. The two main rivers pass through the town: Skerne River and Tees River. The neighbouring towns surround the town are Stockton, Newton Aycliffe and Bishop Auckland.

The local historical Christian group and Religious Society of Friends Quaker families played the crucial role in the development of the town in the Georgian and Victorian period. The World’s first steam locomotive passenger railway ‘Stockton and Darlington Railway’ was introduced by Quaker. The town is also known as Darlo. The town is surrounded by several suburbs include Harrowgate Village, Firthmoor and Skerne Park, Faverdale and the West Park. The twin towns of the Darlington are Amiens in France and Mulheim an der Ruhr in Germany.

History

The early settlement of the town traced its root back to the Anglo-Saxon period. It has been suggested that the town derived its name from the Saxon Dearthington meaning the settlement of the people of the Deornoth. The name of the town replaced by new name Derlinton during the Norman era. It is also known as Darnton in 17^th and 18^th century. The most important English church ‘St Cuthbert Church’ is built in the city in 1183 and listed as Grade I building, while the oldest church St Andrew was established in 1125 around the Haughton area of Darlington.

Darlington continued to grow as a small market town by the early 19^th century. The Backhouse and Pease families, the strong Quaker families were significant employers of the town. The industrialist Joseph Pease constructed the clock tower, the famous landmark of the town in 1864. The face of the clock and tower bells were produced by T. Cooke and Sons and John Warner and Sons respectively. The tower bells of the clock tower are considered as sister bells placed inside the Elizabeth Tower at the Houses of Parliament, also known as Big Ben in London.

The town is also recognised for its corporation with the modern railway and this event is celebrated at Railway Centre and Museum of the Darlington. The town became the significant centre for manufacturing of railways in the 18^th century. In 1825, Locomotion No 1 engine of George Stephenson was designed for passengers and goods and travelled between Stockton-On-Tees and Shildon via Darlington. The Hopetown Carriage Works was established in the town for supplying locomotives to the Darlington Railway. The three major works were developed in the town including Darlington Works, Faverdale Wagon Works and Robert Stephenson & Company.

The bridge building and engineering also played a significant role in the growth of the town. The headquarter of the large engineering firm Cleveland Bridge and Engineering Company is also located in the town and built Sydney Harbour Bridge, Tyne Bridge and the Humber Bridge. The town is home to the leading engine building firms and industrial headquarters of AMEC.

Economy

The town is home to the largest private sector employer EE (Everything Everywhere) British mobile network operator and provided job to more than 2500 people. Other major employer of the town are Student Loans Company hired more than 100 people. Large engineering firms are based in the town such as Cleveland Bridge, Cummins, AMEC and Argos. Many modern and developing industries are also growing in the town including information technology. Recently, the town is also ranked one of the economically important places in England by BT Group and to accomplish superfast broadband rollout project, BT group have installed underground fibre-optic cables.

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