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 Coventry

Coventry is a metropolitan borough in the central England and second largest city in the West Midlands, England. It is the 12^th largest city in the United Kingdom with a population of around 345,385 recorded in 2015. The city is located 11 miles north of Warwick, 24 miles southwest of Leicester and 19 miles east-southeast of Birmingham. It is considered among historic counties of England and lies 95 miles northwest of central London. In 1940, the 14^th-century cathedral church was demolished by the German Wehrmacht military forces in 1940 and Coventry Cathedral was built in the city. The motor companies of the city played a significant role in the growth of the British motor industry. The two major universities in the city include the University of Warwick and Coventry University located on the southern outskirts and city centre respectively.

History

The civil parish in the Warwick district, known as Baginton was founded by the Romans and a Saxon nunnery was established by St Osburga in AD 700. Later on, King Canute attacked the Danish Army and the Anglo-Saxon nunnery was left in ruins in the 10^th century. The Benedictine monastery was established by the Leofric of Mercia in 1043 and the settlement grew with the establishment of the market at the abbey gates. The 4^th captain of Chester Ranulf de Gernon established a Coventry Castle in the early 12^th century, known as bailey castle in the city. The first usage of the castle came to light after the Robert Marmion discharged the monks from the adjacent priory of Saint Mary. Later on, the castle was converted into a fortress and became a battle site against the Earl.

The city was considered as the most important city of England and also served as a major centre of the cloth trade during the 14^th century. The city also became one of the three major centres of the clock and watch manufacturing in 18^th and 19^th century. The clock industry declined due to competition from Swiss clock manufacturers and the focus shifted to bicycle and motorbike manufacture along with machine tool and aircraft industries. The city flourished as a leading centre of bicycle manufacturing in the late 19^th century. Later on, the bicycle manufacturing was expanded to production of motors and the city became the principal centre of the British motor industry. The Jaguar’s design headquarters is established at the Whitley plant.

The city was the prime target of German bombers during the Second World War and suffered massive air raids occurred on the evening of 14 November 1940 destroyed more than 4000 houses. The Germans named it operation moonlight sonata. The severe bombing raids killed more than 800 people and damaged three-quarters of the industrial plants of the city made thousand people unemployed and homeless. During the Luftwaffe attacks, the city suffered colossal damage in comparison with other cities of the England. The huge firestorms damaged most of the city centre due to the presence of large armaments, aircraft and aero-engine plants.

Education

The city is served by two central universities: Coventry University and the University of Warwick. For further education, the city has three main colleges such as City College, Hereward College and Henley College. The most secondary schools of the city are specialist colleges including Finham Park School, Cardinal Wiseman Catholic School and Language College, Woodlands School and Caludon Castle School. The two oldest secondary schools in the city are Sidney Stringer Academy and President Kennedy School and Community College.

Economy

The city remained as the most important seat of ribbon-making in the United Kingdom and competed internationally with France and locally with cities of Leicester and Norwich. The city is home to various cycle and motor manufacturing companies including The Great Horseless Carriage Company, Triumph motorcycle, Coventry Motette and Swift Motor Company. The major sectors including agricultural machinery, telecommunications equipment, machine tools and aerospace components contributed towards the growth of the economy. Recently, the focus has moved towards the finance, research and development as well as logistics and entertainment.

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