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 Leicester

Leicester is a city lies in the East Midlands area of England. It is the unitary authority area located on the Soar River with a population of around 329,839 according to 2011 census. It is the county town of Leicestershire and the most populous area of the East Midland region. It is located at the crossing of two major railway lines as well as the confluence of the trunk routes and the motorways. Leicester, one of the oldest cities in England located near the National Forest’s eastern end. In 1889, the town became a county borough but later on it was dissolved in 1974 under Local Government Act, and finally, the city got its unitary status in 1997. The city is controlled by the Labour Party which is divided into three Parliamentary constituencies.

History

The history of the oldest city dates back at least two millennia. The Roman settlement came into existence around AD 47. Lindum, Bridge on the Fosse Way and Roman road were built in the city by the Corieltauvian settlement. It remains a matter of contention whether development was fortified by Romans. Recently, evidence of Roman cemetery was discovered outside the old city walls depicts the artwork of 300 AD. Other remaining found include the Roman Leicester baths are preserved and displayed at the adjacent museum. After the abandonment of Roman Empire, the city was governed by the kingdom of Mercia. The city became one of the five burghs of the Danelaw for a short period during the rule of Danish Vikings.

In 1790, Grand Union Canal was built in the city connected Leicester to Birmingham and London. With the arrival of railways in 1832, nearby collieries supplied coal to the city. Large mills, workshops and factories started setting up particularly along the river and canal. This development promoted the process of industrialisation and population of the city grew rapidly from 68,100 to 211,600 between 1861 and 1901. Major industrial employers include textiles, clothing and shoes had opened their manufacturing premises in the city.

Education

The city has a number of independent and comprehensive schools including grammar schools and three sixth form colleges. The local education authority of the city was established in 1997, but it has faced an enormous trouble during the local government reorganisation. The Office for Standards in Education, Children’s Services and Skills conducted an enquiry and found few strengths and many weaknesses in the educational authority. Although there has been a considerable improvement in the education system and steps have been taken to improve since then included the opening of Samworth Enterprise Academy, planning a new Children and Young People’s Services department.

Economy

The city has the largest economy in the East Midlands and home to major employers such as Everard's brewing, Brantano Footwear, Cambridge and Counties Bank, Dunelm Mill, DHL, HSBC and Santander banking, British Gas, Topps Tiles, British Telecom and Caterpillar. The GVA of the city is estimated to be 15.3 billion pounds according to a recent study by Experian. Engineering sector played a significant role in the growth of the economy. The city houses engineering companies include Transmon Engineering, Jones and Shipman and Trelleborg. The two major shopping malls, Haymarket Shopping Centre and Highcross Leicester were built in the city.

Transportation

The city is served by East Midlands International Airport located 20 miles north-northwest of the city and Leicester railway station located towards the eastern end of the centre of the city. The airport also serves as an important national hub for mail and freight networks of the major distributors. There are two main bus stations in the city: Haymarket Bus Station and St Margaret’s Bus Station. The rail network faced rapid growth in the city with the arrival of Eurostar international services.

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