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 Leeds

Which still Leeds derives it name from the old Brythonic word Ladenses that stands for "people of the fast-flowing river". The river being mentioned here is the River Aire which still flows through Leeds. Originally Leeds referred to a forested area in the 5^th to the 7^th centuries. The citizens of this city are known as Loiners. They are sometimes also reffered to as Leodensians which is derieved from the city’s Latin name. In Welsh, it is said to be derieved from the word Ilod which means “a place”. Leeds has a population of 2.3 million.

As of today, Leeds economy is the most varied of all the UK's main employment centres. Jobs in Leeds have grown at a faster pace than elsewhere specially in the private-sector. Leeds stands third on the podium when it comes to jobs area. It had 480,000 in employment and self-employment at the start of 2015. Leeds is also ranked as a gamma world city by the Globalization and World Cities Research Network. It is also known as a hub of culture, finance, and commerce in the West Yorkshire Urban Area. There are four universities in Leeds – The University of Leeds, Leeds Beckett University, Leeds Trinity University and the University of Law. In the United Kingdom, the total number of students in Leeds stands at the fourth place.

Cinema in Leeds

First of all it was in the October of 1888 that Louis Le Prince using his single lens camera shot moving picture sequences known as the Roundhay Garden Scene and a Leeds Bridge street scene. These were developed on Eastman’s paper film. The film festival held at Leeds nowdays and called Leeds International Film Festivals International has a Short Film Competition that is named after Louis Le Prince. The second person to do so was Wordsworth Donisthorpe who like Prince had a strong connection to the Leeds Philosophical and Literary Society. Donisthorpe applied for a patent for his camera that could capture moving images twelve years earlier to Prince's.

Leeds has been known to host the rich film exhibitions now and then. Besides hosting the Leeds International Film Festival and Leeds Young Film Festival, it plays host to many independent cinemas and pop-up venues for screening films. The two movie houses - Cottage Road Cinema and Hyde Park Picture House – have since the early 20^th century been showing and are ranked among the oldest cinemas to do so in the whole of UK.

Culture

Leeds has been home to many artists such as Kenneth Armitage, John Atkinson Grimshaw, Jacob Kramer, Barbara Hepworth, Henry Moore and Edward Wadsworth, who belonged to diverse fields. The history of art exhibitions in Leeds goes far beyond the 1888 when the first art gallery opened in Leeds. A series of exhibitions termed as 'Polytechnic Exhibitions' were regularly held from 1839. Established in 1903 and lasting upto 1923 the Leeds Arts Club founded by Alfred Orage had members which included Jacob Kramer, Herbert Read, Frank Rutter and Michael Sadler. This club advocated the philosophy of Friedrich Nietzsche, and German Expressionist ideas about art and culture. Noted sculptors Barbara Hepworth and Henry Moore started their carrersr in the 1920’s at the Leeds College of Art.

The club acted as a centre for essential art education in the middle of the 20^th century guided by artists such as Harry Thubron and Tom Hudson, and the art historian Norbert Lynton. In the 1970s the Leeds College of Art split from the college to form the center of the new multidisciplinary Leeds Polytechnic which later came to be known as Leeds Beckett University. The University of Leeds served as the alma mater of Herbert Read, one of the leading international theorists of modern art. It was also the place where Marxist art historian Arnold Hauser taught from 1951 to 1985. Leeds acted as a centre for radical feminist art, with the Pavilion Gallery, which opened in 1983, showing the work of women. The University of Leeds School of Fine Art was another center dedicated to the development of feminist art history in the late 1980’s and 90’s.

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