We're Open
+44 7340 9595 39
+44 20 3239 6980

The role of Data Warehousing (DW) as oposed to operational databases;

  100% Pass and No Plagiarism Guaranteed

The role of Data Warehousing (DW) as oposed to operational databases;

FIT3003 - Business intelligence and data warehousing
Synopsis
This unit provides students with an understanding of Business Intelligence (BI) systems and the infrastructure needed to support
them. Over the past decade OLAP 20 tools, data mining and other data analysis techniques have been used to obtain value from data 
in ways not possible with earlier tools. Topics covered include the nature and purpose of BI, the relationship between BI and data 
warehousing, design issues related to BI tools and data warehouses, and common data analysis techniques such as OLAP, data mining 
and other computational techniques. The differences between these kinds of systems and other, more traditional information systems 
will be highlighted.
Objectives

At the completion of this unit students will have - A knowledge and understanding of:
  • the role of Data Warehousing (DW) as oposed to operational databases;

  • the definition and the need of Business intelligence (BI);

  • DW development methodology;

  • dimensional models compared to ER models;

  • BUS architecture;

  • DW architectures, ETL and data quality issues;

  • how DW can support BI;

  • BI tools, techniques and OLAP;

  • Data Mining (DM) techniques;

  • Data Mining Tools.

 

  • Developed attitudes that enable them to:

  • recognise the value of DW and BI for a business organisation;

  • adapt a critical approach to DW and BI technology in a business context;

  • appreciate the value of DW for effective management support and decision making;

  • understand the importance and value of BI tool and techniques compared to traditional data analysis techniques;

  • appreciate the value BI tools and DM for providing knowledge for decision making, in ways unavailable with traditional techniques.

 

  • Gained practical skills to:

  • create dimensional models;

  • create DW architectures suitable for different organisations and requirements;

  • interpret results from OLAP and dimensional models;

  • create data analysis models using BI tools;

  • interpret results from BI and DM tools.

 

  • Demonstrated the communication skills necessary to:

  • document and communicate DW architectures and BI techniques;

  • work in a team during DW architecture design and BI model development;

 

  • communicate and coordinate during the team activities.

100% Plagiarism Free & Custom Written,
Tailored to your instructions


International House, 12 Constance Street, London, United Kingdom,
E16 2DQ

UK Registered Company # 11483120


100% Pass Guarantee

STILL NOT CONVINCED?

View our samples written by our professional writers to let you comprehend how your work is going to look like. We have categorised this into 3 categories with a few different subject domains

View Our Samples

We offer a £ 2999

If your assignment is plagiarised, we will give you £ 2999 in compensation

Recent Updates

Details

  • Title: The role of Data Warehousing (DW) as oposed to operational databases;
  • Price: £ 79
  • Post Date: 2018-11-10T11:33:54+00:00
  • Category: Assignment
  • No Plagiarism Guarantee
  • 100% Custom Written

Customer Reviews

The role of Data Warehousing (DW) as oposed to operational databases; The role of Data Warehousing (DW) as oposed to operational databases;
Reviews: 5

A masterpiece of assignment by , written on 2020-03-12

I was worried about the plagiarism ration in my dissertation. But thanks to my dedicated writer, I received 0% plagiarism in all the chapters. I owe my writer a million thanks..!
Reviews: 5

A masterpiece of assignment by , written on 2020-03-12

Insta Research is a very helpful place to buy a resume in the first place. I gave them my details and did not expect that they would come up with such an exclusive design. My personality is professionally enhanced through the resume made by them. I am thankful for the depth of my heart as I would have never approached that level of excellence in my resume. Wish you good luck ahead and again thank you!