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 Reading

Reading is a large town in Berkshire located in the Thames Valley with a population of around 162,700 recorded in 2016. The town is situated on the Thames and Kennet Rivers in southern England, and it is 42 miles west of London, 75 miles east of Bristol and 25 miles south of Oxford. The history of the town traced its roots back to 8^th century. In the medieval period, the town was considered as a 10^th largest town in England and served as the main trading and ecclesiastical centre. One of the richest monasteries ‘Reading Abbey’ is also built in the town. The town was severally affected by English Civil war, and the wealth of the town declined with the major siege and loss of trade.

With the establishment of ironworks and Great Western Railway in the 18^th and 19^th century, the town grew rapidly and became the principal manufacturing centre. During that period, the economy of the town again flourished, and it became famous for its brewing trade. The town is crowned as leading economic area for economic success, and well-being and the factors contributing towards its growth are health, employment, and income. Due to its strategic location and establishment of information technology and insurance sector in the town, it became a major commercial and regional retail centre catering the needs of a large area of the Thames Valley.

History

The first evidence of settlement was found in the 8^th century, and it is estimated that the town may date back to the Roman period. It was also referred as Readingum, the name derived from an Anglo-Saxon tribe in Old English. The first battle of the town was held in 871, and an army of Danes set up the camp and remained in the town until the end of 8^th century. With the presence of six mills, Reading was explicitly known as a borough in 1086. In the 14^th century, the most devastating pandemics Black Death also affected the city and lost 60% of its population.

Reading Abbey founded in 1121 was largely destroyed during the dissolution of the monasteries in 1538. The town was little affected by First and Second World War compared to other towns and cities of the United Kingdom. The town centre was attacked by Luftwaffe plane machine in 1943 resulted in many causalities. The town is ranked among one of the largest urban areas of the England, but it has not granted the city status so far even after bidding for three main occasions celebrated Diamond Jubilee, a new millennium and Golden Jubilee of Queen Elizabeth II. All three bids remain unsuccessful.

Economy

Reading is a major retail and commercial centre in the Southern England. The town is home to various UK offices of foreign multinationals and British companies’ headquarters. Due to its proximity to London, it is also known as part of the London commuter belt and inward tourist destination with 30,000 inward arrivals recorded during the morning peak period. The headquarters of the major companies including Microsoft, BG Group, and Oracle Hibu is located in the town. PepsiCo, Ericsson, Commvault, and Wrigley have their offices in the town. The town centre is a major shopping centre; there are three major departmental stores, two shopping malls and three shopping arcades in the town.

Education

In 1892, the University of Reading was established. It was rated as one of the most research-intensive University of England. It is also rated among top 200 universities in the world. A large number of primary, private, independent and state secondary schools in the town provides the best education to the students.

Tourism

The town is famous for Thames Valley countryside, medieval abbey ruins, a major shopping centre and Thames and Kennet rivers. Notable places to visit in the town are Reading Abbey Ruins, Reading Museum, Basildon Park, Wellington Country Park and much more exciting locations.

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