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 Ipswich

Ipswich, the county town of Suffolk and non-metropolitan district located 60 miles northeast of London. It lies at the mouth of the Orwell River with a population of around 133,384 according to 2011 census. The town derived its name either from Orwell estuary or an Anglo-Saxon personal name and it was also referred as Gippeswic, Yppswyche, and Gyppewicus. The town became famous in early times for its major port Ipswich Dock which has been England’s one of the major trading port. It was also considered UK’s one of the most prosperous city since Anglo-Saxon period.

History

Ipswich is one of the oldest inhabited towns in the England. The history of the town traced its roots back to the Roman period. The rural towns and settlements were connected to the area around the town via the rivers Gipping and Orwell during the Roman Empire. The largest Roman villa and fort were built during the Roman Empire and still stands at Castle Hill and Walton near Felixstowe respectively. The Sutton Hoo treasures and replicas of the Roman Mildenhall are still preserved in the museum of the town. The modern town has been continuously occupied around Ipswich dock since the Saxon period. After the abandonment of Roman period, the development of coastal states of north-western Europe came into existence. The former Roman ports of London served as major communication and trading port between eastern Britain and the continents of Scandinavia and Rhine.

The first large-scale potteries were established in the town with the arrival of Frisian potters from Netherlands in the 7^th century. The Shrine of Our Lady of Grace of the town became a famous pilgrimage destination and attracted many pilgrims during the middle ages. The independent Ipswich Institute reading room and library were built in 1824 and still survives today. The town was targeted by German Zeppelins and bombing raids during the First and Second World War resulted in many casualties and destruction of the area in and around the docks. The town has undergone a considerable redevelopment around the waterfront and industrial dock area was rebuilt into the residential and commercial centre. Ipswich has made several attempts for attaining the city status but all the bids remain unsuccessful and it remains as a town.

Culture

The town has a number of galleries and three museums include Christchurch Mansion Ipswich Transport Museum, Ipswich Museum, Ancient House and Christchurch Mansion. New works of art are continuously promoted by the Borough Council. The New Wolsey Company took on the management of New Wolsey Theatre built on the Civic Drive accommodating 400 people. The summer arts festival is celebrated every year and known as Ipswich Arts Festival.

Industry

Ipswich is county town of agricultural Suffolk and home to famous agricultural manufacturers. Adastral Science Park is located to the east of the town, earlier the area was being used by the British Telecom Research Laboratories. The insurance business is the key employment sector and employs the majority of the workforce in the town. Other employers include Legal and General, Axa, LV, Churchill, and Willis. The experienced and skilled workforce has contributed to the establishment of the ancillary works in the past few years. Every year millions of tons of cargo are being handled in the famous port named as Haven port.

Education

There are several state-funded secondary and independent schools in the town include Copleston and Northgate High Schools, Ipswich School, Ipswich High School and Ipswich Academy. Suffolk New College, University of Suffolk and Sixth Form College serves the residents of the town and neighbouring area.

Notable Personalities

List of famous residents includes Thomas Wolsey, Alf Ramsey, Sarah Trimmer, Bobby Robson, Richard Ayoade and Thomas Gainsborough.

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