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 Sunderland

Sunderland is a coastal city lies at the mouth of the Wear River, around 80 meters above sea level. It is located in the centre of the City of Sunderland metropolitan borough, local government district in England with a population of around 174,286 according to 2011 census. It is situated about 10 miles southeast of Newcastle and 240 miles north of London. The River Wear flows through the centre of the town and divides in a deeply incised valley. The town’s name is originated from sundered land meaning land kept aside for a special purpose or land sundered. The evidence of three settlements found historically in a county in North East England or County Durham on the site of present-day Sunderland.

The area of Sunderland Monkwearmouth is located on the north bank of the Wear River and settled in 674 during the foundation of Jarrow Abbey by the Benedict Biscop. Another settlement Bishopwearmouth founded in 930, lies at the southern side of the river. The town developed as a port over a period and became famous for trading salt and coal. The construction of ships started on the river in the 14^th century. With the passage of time, the port of the town absorbed Monkwearmouth and Bishopwearmouth by the 19^th century. The town became the major centre for the automotive industry and the service sector. It has been suggested that the person who is born or lives in the town, sometimes known as Mackem. The concept came into existence in the late 20^th century and not used until 1980.

History

The early inhabitants of the town were the hunter-gatherers during Stone Age. The remains of the period were found during the excavations of St Peter’s Church in Monkwearmouth including the artefacts and microliths. The area of Hastings Hill became a primary place of burial and central point of activity in the Neolithic period, the final phase of the Stone Age. In the pre and post-Roman period, the area was occupied by the Brigantes around the Wear River. During the Anglo-Saxon era, the town became an important centre of knowledge and learning and library with approximately 300 volumes was also located in the town.

The long trench, a tactic of warfare was found as one artefact of the English civil war. In the 17^th century, the three original settlements (Monkwearmouth, Sunderland and Bishopwearmouth) were integrated and known as Sunderland-near-the-Sea. The factors behind the incorporation included the construction of ships on the banks of the river, salt panning and success of the port of Sunderland. The construction of Sunderland barracks was completed in 1794. These barracks included the 80-bed hospital, soldier’s quarters and housing for 1528 infantry troops. The second iron bridge of the world was built in the town in 1796.

The town was severally affected by the major Indian epidemic Cholera, broke out in the town in 1831. The disease spread in other parts of the country resulted in the death of more than 32000 people. The town again suffered from the worst disaster of the Victoria Hall in 1883 leading to the death of 183 children due to lack of enough way to pass during a variety show. This led to the invention of the concept of push bar emergency doors. The economy of the town shifted to chemical and motor manufacturing after the fall of heavy industries in the early 19^th century. The electric tram system arrived in the town in 1900, later on, these were replaced by the buses in 1940.

The town saw remarkable expansion in the shipbuilding business during the First World War and became the prime target of a Zeppelin raid in 1916. Approx. 2500 citizens of the town served in the armed forces during the war period. The town also attacked by the German bombers during the Second World War leading to the destruction of 4000 homes and death of 267 people in the town. The coal mining and shipbuilding industry declined and ended by the late 20^th century resulted in the unemployment of the local workforce.

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