Data Warehouses
Regular databases are about storing operational or transactional data. That data is not likely to be manipulated much, but you could have some computational columns in your tables. This is operational data; it should not be changed unless a mistake is discovered. For example, someone could enter information into a form and then realize they typed something wrong. Usually, they would just use the form to correct the error. However, behind-the-scenes, data should not be changed in general.
Now, suppose you wanted to complete some heavy data mining or analysis on the data in these databases. You may want to look at some buying trends, so you will need to examine your transactional data. However, because constant records are being inserted into your transaction tables, you want to take your transaction data and put it somewhere where you can scrutinize it. This is where data warehousing comes in. Many times, you do not want the data in its exact current form in your transaction tables. It may be that you do not want that level of granularity. In other words, you may not want to know every single candy bar that is sold. You may want aggregated data or summarized data. You may want to only look at your cost and sales price. You may not care about tax. Regardless, the data warehouse is the perfect place for you to take your transactional data, put it in a format that fits the needs of your business, and then store it for future analysis.
Moreover, at this point, the data can be used for business intelligence. You may use data mining programs to look for those hidden patterns in your sales tables. Let’s say you own a convenience store. You may want to know that, during the winter, 70% of your coffee sales include a candy bar at the same time. Why would you want to know that? If you know that people are inclined to buy a candy bar when they have coffee, you may want to have a special sale and offer your customers 25% off a candy bar with the sale of a coffee. On a grander scale, you can use big data analytics to obtain information about your business to help you make sound and strategic business decisions. Be sure to read the two resources before proceeding to your last assignment regarding the assessment of data warehousing needs.
Scenario:
Your businesses (concierge, consulting, and home office products) have grown and expanded internationally to the point that you must consider a data warehouse to store and manage your data.
Instructions:
For this assignment, you must write a paper explaining the data warehouse options that would be the best fit for the business needs.
Your paper should include the following:
Summarize the growth and structure of your businesses.
Research several data warehousing options and choose a minimum of three that are the best fit to store and manage your data. Describe the capabilities of each of the ones you choose.
Compare and contrast each data warehousing option relevant to your businesses.
Conclude with your best choice to store and manage your data and explain your reasons.
Length: 3-5 pages, not including title and reference pages
References: Include a minimum of 6 quality resources
The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course. The writing should integrate scholarly resources, reflect academic expectations and current APA version 7 standards (as required).
Additional resources:
https://panoply.io/data-
https://ieeexplore.ieee.org/
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