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 Maidstone

Maidstone, also known as the Garden of England is a large county town of the Kent with a population of around 107,627 according to 2011 census. The Medway River flows in the west-east direction connect the town to the Thames Estuary and Rochester and passes through the centre of the town. The town served as an agricultural county of Kent. The history of the city found its root back before the Stone Age. The town was affected by the Second World War, and the heavy industries were replaced by light industries and services. It has been suggested that the name of the town is derived from medestan, meaning stone of the people or stone of the maidens.

The education, maintenance of infrastructure and social services of the town are administrated by the Kent County Council. There are two constituencies in the town, one is Faversham and Mid Kent, and other is Maidstone and the Weald. Maidstone comprises various villages, hitherto settlements and hamlets including Barming, Sandling, Allington and Tovil.

History

The evidence of Roman settlement in the area found in the architectural buildings and villas of the town. The charter was granted in 1551, created the town as a borough. The Normans established an abbey, shire moot, hospitals and a college for priests. The Parliamentarian troops won over the Royalist forces in the Battle of Maidstone during the Second English Civil War in 1648. The town flourished with the arrival of stone quarrying, paper mills, brewing and the cloth industry. The cavalry barracks were built in the town to establish the permanent military presence in the 17^th century and also known as Invicta Park Barracks

A number of outlying settlements and villages can be found in the modern town. The significant development of the town Maidstone General Hospital, which was built in 1983 on the outskirts of the town replaced 150 years old West Kent General Hospital located in Marsham Street. The Portland stone was used during the construction of county council offices between 1910 and 1913. During the Irish Republican Army campaign, local pub serving Invicta Park Barracks was severally damaged by a bomb in 1975. The major employers of the town include administrative, retail and service sectors and few industrial estates established on the outskirts provide the employment to the workforce of the town. Some residents also commute to the other towns including London for better job opportunities.

Economy

The major employer of the town was the Sharps toffee factory located in the central Maidstone flows until 1998. The electrical engineer founded he loudspeaker manufacturer in 1961 and named after Kent Engineering and Foundry (KEF). They manufactured a loudspeaker in the late 19^th century and named the Maidstone. The water system of the town is operated by Mid Kent Water and Southern Water. The major offices of the county are located in the centre of the town and many high-tech firms have started their operations in the surrounding business parks. The town is ranked 50 in the United Kingdom for having largest retail floor space and higher shopping yields. The main shopping centres Fremlin Walk and Mall Maidstone are located in the town centre having the floor area of 32,500 square meters and 49,700 square meters respectively. Other recent developments such as multiplex cinema, nightclubs, restaurants and market square are contributing towards the economy of the city.

Education

There are 23 primary, 15 secondary and two special schools in the town. The town is also served by the grammar schools, and non-selective secondary schools include Invicta Grammar School, Cornwallis Academy, New Line Learning Academy, Valley Park School, Maidstone Grammar School and Oakwood Park Grammar School. The regional campus of the University for the Creative Arts is located on the west of the town.

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