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 Gloucester

Gloucester is the non-metropolitan county of Gloucestershire with a population of around 121,900 according to 2011 census. It is a 53^rd populous city in the United Kingdom. It is situated near the Welsh border on the eastern bank of the Severn River. Gloucester is a city in the southwest England and lies between the Forest of Dean and the Cotswolds rural area. Roman Emperor Nerva founded the city in AD 97. The first charter was granted to the city in 1155, gave the inhabitants the same rights as the civilians of London and the second charter gave the freedom of passage on the Severn River. The town’s economy is largely based on the service industry. The city is said to have been dominated by the aerospace industry in its earlier times.

History

The early settlement of the city found its root back to the Roman period. Romans built the Glevum, a Roman fort that became a colonia of retired legionaries. The number of remains, parts of the walls and coins have been discovered, and other Roman artefacts and tombstones are stored in the Gloucester City Museum. During the 4^th century, Celtic Dubonni tribe had taken control of the city after the withdrawal of the Roman Empire. Until 584, the city became a part of Wessex in the Anglo-Saxon Chronicle. The city derived its name from the Anglo-Saxon fort.

In 577, the Saxons occupied the city. Its geographical location and the foundation of St Peter abbey contributed towards the growth of the town. The city was a borough with a castle before the Norman invasion of England. The remains of Northumbria King, Saint Oswald, brought to the small church at the beginning of the 10th century, attracted many pilgrims to the town. Recently, a unique coin was discovered in the north of the city dates back to 1077-80. The city had a large fishing industry in the medieval period. The main export was wool, leather, weapons and tools at that time. During the 14^th century, the most significant period began in the history of the town with the convention of Parliament in Gloucester. The two grammar schools were built in the city in the 16^th and 17^th century: Sir Thomas Rich’s School and the Crypt School.

Transport

M5 motorway serves the Gloucester and runs to the east of the city. The north, central and south city is also served by Junction 11, Junction 11 a and Junction 12 respectively. The A38 connects the town with the cities of Bristol and Tewkesbury (civil parish in Gloucestershire) and runs to the north-south of the city, while A40, A46, A417 links Gloucester with the towns of Cheltenham, Monmouth and Cirencester. The city was the lowest bridging point on the river before the construction of Severn Bridge in 1966. The central railway station serves the city of Gloucester in England and connects to the cities of Reading, Nottingham, London, Cardiff and Birmingham.

Industry

Historically, the city was dominated by the aerospace business. The Gloucestershire Aircraft Company renamed as Gloster Aircraft Company in 1926 as international customers found difficult to pronounce ‘Gloucestershire’. The aviation history is celebrated by the sculpture in the city centre. The city is home to the large insurance company Ecclesiastical Insurance and Allchurches Trust, a large national charity in the United Kingdom. The TSB Bank and Lloyds Banking Group have their offices located in the city. A Business Park is located on the periphery of the city and has close links to the A417 and M5. The big brands including Detica, Direct Wines, Ageas and Fortis have their presence in the business park. The industrial history of the city is celebrated at the National Waterways Museum with interactive displays and canal boats.

Attractions

The famous places to visit in the city include Gloucester Cathedral, The Museum of Gloucester, National Waterways Museum, Gloucester Quays and Docks, Gloucestershire Arts and Crafts Centre, Jet Age Museum, Prinknash Abbey, The Barn Owl Centre and much more exciting locations.

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