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 Aberdeen

Aberdeen is city located in Scotland and the third city with a large population. Aberdeen is one of the 32 local government council areas of Scotland. It is the 37th area with a large population in the United Kingdom. The estimated population of the city of Aberdeen is 196,670, and for local authority area, it is 229,800. Nicknames of Aberdeen include Silver city with Golden Sands, Granite City, and Grey city. In the middle 18th and 20th century, buildings of Aberdeen was covered by grey granite which sparkles like silver due to high mica content in it.

In 1970s North Sea Oil was discovered. Since 8000 years ago this area became a settlement when villages lie around the river, Don, and Dee. The climate of Aberdeen is a marine type. From David 1 of Scotland, Aberdeen got its Royal Burgh status. Two important universities of Aberdeen are the University of Aberdeen founded in 1495 and Robert Gordon University in 1992.

There are many setups of Traditional industries such as papermaking, fishing, textiles, and shipbuilding was taken by Aberdeen's seaport and oil industry. These industries were the main reason for the job creation for the local people. A number of people from nearby towns come here for job employment. One of the busiest commercial heliports is located in Aberdeen namely Aberdeen Heliport. In north-east of Scotland, largest seaport is situated. These used to lessen the burden of the traffic of the city.

In Aberdeen, the Aberdeen international youth festival is held that attract around 1000 talented arts companies. Ultimately, tourism industry booms in the town and provide employment to local people. In the year 2015, Mercer named Aberdeen 57th best city to live and Britain's 4th largest liveable city. Aberdeen was named as leading business hub by HSBC.

Education

There are two universities located in Aberdeen namely Robert Gordon University and the University of Aberdeen. Earlier the University of Aberdeen was known as King's College, Aberdeen and William Elphinstone founded it in the year 1496. George Keith founded Marischal College in new Aberdeen in the year 1593. In the English speaking world, Aberdeen university is the fifth oldest. It provides degree related to various disciplines. Primary campus is located in old Aberdeen, and it has around 14000 students. Debating society of the university is oldest in Scotland and founded in the year 1646.

In the year 1750, Robert Gordon's College was founded by merchant Robert Gordon. In 1992 Robert Gordon Institute of Technology got its university status and became Robert Gordon University. Later the university expanded and developed rapidly. The Sunday Times named it the Best Modern University in the UK.

Robert Gordon University had two campuses one is located at Schoolhill/ St Andrew Street city center and another one at Garthdee.

Scottish Agricultural College is located outside Aberdeen. In Aberdeen, Marine Laboratory Aberdeen which has specialization in fisheries. Some other higher education institutions are Rowett Research Institute and Macaulay Land Use Research Institute. Aberdeen has 54 primary schools and 12 secondary schools that are handled by the city council. Among top 50 secondary schools in Scotland, comes Cutts Academy, Oldmachar Academy, and Hariaw Academy.

Various private schools are located in Aberdeen like Robert Gordon's College, Albyn School, and Hamilton school, St Margaret's School for Girls, International School of Aberdeen and Steiner School. Aberdeen harbor was made modern in the late 1960s. In 1982 Fish Market was developed. In 1994 Telford Dock was established. In the year 1964, there was typhoid outbreak in 1964. During the 20^th century, Aberdeen became the much healthier city. In 1985 Trinity center was opened. The present population of Aberdeen is 212000.

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