CSCI-5012 Special Class
Student ID: 104722670
Many Data Systems are used in Scientific or non-Business Domains. Many of the Books and Reference Materials available implicitly support Business Domain concepts. If you look a Data Warehousing Books, Online Analytical Processing (OLAP) books, even many of the current Big Data and NoSQL books are oriented towards Business Data.
If you look at the Tools available, such as Extract, Transform and Load (ETL) tools, and Data Processing Tools like Hadoop, Storm, and Spark, you still see primarily Business Domain support.
Think about the differences between Business Data Systems and Scientific Data Systems. Write a small paper (1 – 2 pages) discussing any differences and similarities you can find or think of.
Scientific data systems is less oriented on yielding practical results and more concerned with finding out more about how the world works. ...view middle of the document...
) with data from lab devices and other data management tools, all to be indexed and searchable from a central database. An SDMS also must be focused on increasing research productivity without sacrificing data sharing and collaboration efforts.
Business data systems usually have a practical data, and the point is to design the data, prove that the data is safe or useful, or something else that will directly affect the bottom line of the company that is paying for the research. Business data system involves a large volume of input data, relatively few computational operations, and a large volume of output.
Companies that build data warehouses and use business intelligence for decision-making ultimately save money and increase profit. This specialized studies program introduces you to the main components of a data warehouse for business intelligence applications. Learn how a data warehouse fits into the overall strategy of a complex enterprise, how to develop data models useful for business intelligence, and how to combine data from disparate sources into a single database that comprises the core of your data warehouse. Explore how to define and specify useful management reports from warehouse data.
Data systems modelers, database administrators, data architects, IT managers, business analysts, CIOs, and others who need to take data from different databases or data sources and combine them into a single repository that can be used to produce executive dashboards, generate summary reports, and glean “hidden” information from business databases. Those who provide the requests for data in order to analyze trends and systems should also attend.
Business Analytics and Business Intelligence are two terms heavily used when people are talking about data and what it can do for their company. Some people use these terms interchangeably, some strictly distinguish between them. Some consider business intelligence as a subset of Business Analytics, others think the opposite.
Business data systems and scientific data systems are not unique, because each system has its own architecture.