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 Birmingham

Birmingham city is located near the small river Rea. Being situated at West Midlands of UK, it is also recognised as the metropolitan borough. It is the very famous and largest city outside the London. The population of the city is 1 lakh 10 thousand approximately as per last recorded population census of mid-2016.

During the medieval period, a medium sized market grew and got the international status in the 18^th century. Within this period, many innovations took place that results in the foundation of modern industrial society. It was announced as the leading manufacturing town in the world in 1791. The unique economic profile of Birmingham motivates the excellent levels of creativity and innovation to provide an economic base for industrial welfare. It includes many small workshops which practice a wide variety of skilled and experienced trades. Birmingham city is the most followed football club of the region. Government is also backing the bid of the town for hosting 2022 commonwealth games.

Government

The largest local authority in Europe is Birmingham City Council. There are 3 councillors in each ward and making the strength of total 120 in 40 wards. The city headquarters is in the Victorian square. John Clancy led the Labour Party which has a majority as of 2017. It comes to the majority by defeating the Conservative/Liberal Democrat in the elections of May 2012. In June 1896, Lord Mayoralty’s honour and pride were conferred by Letters Patent.

Geography

Being at the centre of the West Midlands region of Birmingham Plateau. The height of the town from the sea level is between 500 and 1,000 feet above. It is crossed by the main watershed of the UK in-between the sinks of rivers Trent and Severn. The city most of the area was a developed and transformed part of the Arden forest. Its presence can be felt in cities like Saltley, Hockley, Moseley and much more. These areas still have dense oak trees.

Climate

Being close to the ocean, Birmingham has a maritime climatic condition. In summer, the temperature is average to the maximum that us 21.3 °C and in winters the temperature is around 6.7 °C. On average, the hottest day of the year was 28.8 °C and the coldest day was –9.0 °C between 1971 and 2000. The highest temperature was recorded nearly 34.9 °C during late 19^th century.

Environment

Birmingham as largest number of parks than any other European city. It has total 571 parks that are spread over 3,500 hectares of public open space. The city is full of trees. It has approximately 6 million tresses. Also, it has 250 miles of urban streams and brooks. Sutton Park is the main Park of the town that gets most of the visitors of the world. It covers 2,400 acres in the north of the city.

Not an only park, but Birmingham also has many areas of wildlife which lies in both informal settings like Project Kingfisher and Woodgate Valley and in the selection of parks like Handsworth Park, Lickey Hills, Cannon Hill and more.

Demography

According to the mid-year estimate in 2012, the population of Birmingham was 1,085,400. It is 1% increase from the estimate held in 2011. There has been a drastic increase in the population of the city since early 20^th century. It is the major local authority outside the London.

It has a population density of 10,391 occupants per square mile when compared to the 976.9 occupants per square mile. Birmingham can face an increase of 8.0% in a population that is 1,160,100 by 2021.

Religion

The majority of the population follow Christianity within the city. In 2011, it was found that 46.1% of the population is Christian. This city has a diverse profile of religions. Birmingham outside the London has the largest number of other communities like Muslim, Sikh and Buddhist. The second largest community is Hinduism.

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