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 Canterbury

Canterbury is a historic cathedral city located on the River Stour in the Southeast England. It is located 55 miles southeast of London with a population of around 43,432 in 2011 census. The nearby villages and suburbs of the city include Rough Common, Harbledown, Tyler Hill, Hales Place, Sturry, and Wincheap. The River Stour segregates the south-east part of the city into two wings, one wing flowing through the city and other around the position of the former walls. The two wings further combine on the northeast edge of the city. Canterbury local government district covers the area of Herne and Whitstable Bay and Member of Parliament elected in the city is Rosie Duffield of Labour Party. Under Local Government Act, the city became a county borough, later on, it lost its county borough status and afterward, Kent County Council has taken the full control.

History

The first early settlement of Canterbury dates back to prehistoric times. Romans captured the settlement of Celtic tribe in the 1^st century and given the name Durovernum Cantiacorum. The city was redeveloped with the construction of the temple, public baths, theatre and roads with grid pattern by the Romans. They also built a wall with seven gates and an earth bank around the city to safeguard from Barbarians attack. After the abandonment of Roman period, Anglo-Saxon community developed within the city walls and trade developed in textile, pottery and leather sector.

The most serious epidemics Black Death affected the city in the 13^th century and a population of the city declined from 10,000 to 3,000. Between 17^th and 18^th century, the castle of the city fell into disrepair and six gates were demolished. The silk industry was closed and trade was limited to only wheat and hops. The world’s first passenger railway came into existence in 1830 connected the town to a larger network of South Eastern Railway. The city was affected by First and Second World War destroyed 296 buildings and 731 homes and resulted in the death of 115 people. The redevelopment of the city took place ten years after the war and ring road was constructed to avoid growing problem of traffic congestion along with the development of Christ Church College and the University of Kent at Canterbury.

Economy

Canterbury is the second largest economy in the Kent and also known as wealthiest places in the south-east. The city is home to 4761 businesses provide job opportunities to more than 60,000 employees. Unemployment in the city has dropped largely with the involvement of Lakesview International Business Park, Whitefriars shopping complex and Canterbury Enterprise Hub. According to a survey in September 2011, unemployment rate recorded at just 5.7% which is quite low as compared to other cities of the England. Tourism plays a crucial role in the development of the city and contributes 258m dollars to the economy.

Education

Canterbury has several primary and secondary schools including Kings School, Barton Court Grammar School, The Canterbury High School and Archbishops School. For higher education, the city has three main universities and several other higher colleges and institutions providing education to 22% of the population according to 2011 census. The universities include the University of Kent, University for the Creative Arts and Canterbury Christ Church University.

Tourism

The city is famous for its beautiful beach fronts, stunning architecture, surrounding coastal towns and world-famous buildings. The tourism of the city is a perfect combination of city, countryside, and coast. The city is also a pilgrimage site and its renowned cathedral is recognised by UNESCO World Heritage Site drawing the attention of million tourists. The top rated tourist attractions in the city include Canterbury Cathedral, St Augustine’s Abbey, Heritage Museum, Norman Castle, Roman Museum, Chilham Castle and St Martin’s Church.

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