Implementing a Data Warehouse with Microsoft SQL Server (M20463)

Install data warehouse in an organisation using SQL Server

For supporting Business Intelligence solutions learn to implement data warehouse
Maintain quality and integrity of data using SQL Server Data Quality Services
Understand about SSIS packages and how to load, extract and transform information from it
Course is developed by well qualified, and Microsoft certified trainers
Gain the certification and accomplish your career goals
Pentagon Training offers this course at an affordable price

As the size of databases is growing day by day, we need to retrieve data as fast as possible and write it back at same speed. For this, companies need to make sure that databases are working smoothly. For managing different types of applications and databases, nowadays companies make use of SQL Server. Companies chose to use SQL Server over other popular database systems like Oracle or DB2 due to its excellent features. SQL Server provide features like high availability, better transactional throughput and excellent performance. Proper implementation of SQL Server is required for excellent performance.

In this Pentagon Training’s Implementing a Data Warehouse with Microsoft SQL Server (M20463) course delegates will learn how to create data warehouse using Microsoft SQL Server and implementing it with SQL Server Integration services. Get the complete technical skills required to install data warehouse using SQL Server 2014.

Who should take this course

The intended audience for this course is database professionals who want to become Business Intelligence developers.

Database developers are required to focus implementing a data warehouse, ETL and cleansing data.

Primary responsibilities of database administrator include:

Implementing data warehouse
Develop SSIS packages for data loading, transformation and extraction.
Enforce data integrity using Master Data Services.
Cleanse data using Data Quality Services.

Prerequisites

For attending this course, delegates must have at least three years of experience of working with relational database management system.

Knowledge of designing normalised databases, creating tables and their relationships, querying with Transact-SQL and basic programming constructs like branching and looping is required for attending this course.

Understand concepts and architecture of data warehouse.
For Data Warehouse, learn to select suitable hardware platform.
Effectively design and implement a data warehouse.
Understand to implement data flow and control flow in SSIS package.
Learn to debug and troubleshoot SSIS packages.
Implement SSIS solution that supports incremental data warehouse loads and data extraction.
Using Microsoft Data quality services cleanse the data.
Enforce data integrity using Master Data Services (MDS).
Learn to extend SSIS with custom components and scripts.
Understand to configure and deploy SSIS packages.
Learn how Business Intelligence solutions consume data in the data warehouse.

Tutor Support

Key Learning Points

Exam(s) included

Certificate

Course Overview

In this Pentagon Training’s Implementing a Data Warehouse with Microsoft SQL Server (M20463), course get the knowledge and skills required to set up and implement data warehouse using SQL Server in an organisation. Also, learn basic principles of data warehousing, data extraction, using master data services and creating ETL solution. Find out how to cleanse and validate data using SQL Server master data and Quality Services.

Course Content

Introduction to data warehousing

In this module, understand key components of data warehousing and other high-level considerations one must take into account when undertaking data warehousing project.

Introduction to data warehousing
Considerations for data warehousing solution

Planning data warehouse infrastructure

Learn what to consider for selecting hardware and distributing SQL Server facilities across servers.

Considerations for Data Warehousing Infrastructure
Planning Data Warehouse Hardware

Design and implement data warehouse

In this topic, understand 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

Create an ETL solution with SSIS

In this topic, understand about considerations for implementing ETL process and then focus on Microsoft SQL Server Integration Services (SSIS) for building ETL solutions.

Introduction to ETL with SSIS
Explore data sources
Implement data flow

Implementing Control Flow in an SSIS package

In this module learn how to implement ETL solutions that merge multiple tasks and workflow logic.

Introduction to control flow
Create dynamic packages
Use containers
Manage consistency

Debugging and troubleshooting SSIS packages

In this module understand how you can debug packages to find the reason of errors occurrence during execution. Understand the logging functionality built into SSIS that can be used to log events for troubleshooting purpose. It also describes approaches for handling errors in control flow and data flow.

Debug an SSIS package
Logging SSIS package events
Handle errors in SSIS package

Implementing a Data Extraction Solution

In this module, understand the techniques that can be used to perform an incremental data warehouse refresh.

Plan data extraction
Extract modified data

Loading data into Data Warehouse

In this module understand the techniques used to implement data warehouse load process.

Plan data loads
Use SSIS for incremental loads
Use Transact-SQL loading techniques

Enforce Data Quality

Understand about Microsoft SQL Server Data Quality Services (DQS) and describe how it can be used to cleanse and de-duplicate data.

Overview of Microsoft SQL Server Data Quality Services (DQS)
Cleanse and validate data

Master data Services

In this topic, Master Data Services provide a way for organisations to standardise data and improve its quality, consistency and reliability that helps in key business decisions. It also introduces Master Data Services and its benefits of using it.

Introduction to Master Data Services
Implement Master Data Services model
Manage Master data
Create Master data hub

Extending SQL Server Integration services

In this module understand the techniques to extend SSIS and get awareness of major steps required to use scripts in an ETL process and custom components based on SSIS.

Use scripts in SSIS
Use custom components in SSIS

Deploy and configure SSIS packages

In this module learn how to implement packages and their dependencies to the server. Learn how to manage and monitor the execution of deployed packages effectively.

Overview of SSIS deployment
Deploy SSIS projects
Plan SSIS package execution

Consuming Data in Data Warehouse

This module introduces Business Intelligence solutions that data warehouse can use as a basis for enterprise and self-service BI lessons.

Introduction to business intelligence
Enterprise Business Intelligence
Big data and Self Service BI

About Milton Keynes

Milton Keynes

Milton Keynes also abbreviated as MK is a large town located in Buckinghamshire, England. It was designed as a new town on 23 January 1967 and also an administrative centre of Borough of Milton Keynes. It is located 45 miles that is 72 km away from north-west of London.

Various another town like Bletchley, Wolverton and Stony Stratford exist here along with other 15 villages and farmland. Milton Keynes took its name from existing “Village of Milton Keynes “that is few miles away from the planned centre.

History of Milton Keynes

Milton Keynes has a rich history with proof of human settlement that was found before starting the construction of this city in 1960’s. When UK government decided to establish Milton Keynes, most of the area was farmland, and undeveloped villages and the earlier history was incredibly rich. Until the 10^th century, there was no evidence of occupation in villages. During middle age, 18 villages were present that still form the heart of Milton Keynes districts. With the arrival of London and Birmingham Railway and Grand Junction canal in late 18^th and 19^th century, the area went through many changes and the new town of Wolverton, and New Bradwell emerged.

The greatest change in the history of Milton Keynes was when it was chosen to solve housing problems in London. Milton Keynes was planned as biggest towns and have an area of 89 square kilometres that became home to around 250,000 people. In the beginning, no building was allowed to be tall than the tallest tree, and later Milton Keynes Partnership changed it. Tallest building in Milton Keynes is 14 floors high. Its population will double by the year 2026.

Milton Keynes offers a broad range of opportunities to people to learn new things and get a better education. Bletchley Park code breakers brought innovation to the city in second world war. This team cracked secret codes of Germans. Milton Keynes is a destination that is always passionate about developing minds. It contains some of the best schools and colleges. Milton Keynes College offers a wide range of courses in different domains. It is one of the fastest growing college in the United Kingdom.

Open University offers contemporary learning where degree level education is provided to everyone. The headquarters of the university is located at Walton Hall in Milton Keynes. There is also University Centre Milton Keynes ( UCMK) which is a hub for higher education with new facilities and exciting courses in the middle of the city. This town also contains a solar-powered house that plays a significant role in the development of electric transport. Various courses, classes and opportunities are offered by Milton Keynes Theatre Creative Learning department to young people and adults to explore theatres including makeup, drama, acting and much more.

Sport

Milton Keynes has various professional teams in football, in ice hockey and in Formula one. It is also home to Xscape indoor ski slope, Formula Fast Indoor Karting Centre, Airkix Indoor Sky Diving facility and National Badminton Centre.

Economy

At Borough level, data of Milton Keynes economy, demography and politics is collected. Milton Keynes is one of the most successful economies in Southeast along with gross value added per capita index which was 47% higher than the national average. According to 2015 data, average wages place it in top five nationally.

Just 0.6% of businesses employ people more than 250 which include Open University, Volkswagen Group, Mercedes-Benz and Network Rail. Remaining enterprises around 81.5% employ near about 10 people. Milton Keynes professional, technical and scientific sector contributes large employment. Milton Keynes has a high number of business start-ups in England and start-up levels remained high even during the period of recession 2009/2010. Most of the population is younger. 22.6% of Borough population is under 16, 12.1% are aged 65+. According to 2011 census report, Milton Keynes Urban area comprises of 8.7% South Asian, 78.4% white, 3.5% Mixed Race, 7-5% Black, 1.2% Chinese, 6.7% other ethnic group and Asian.