What Is The Difference Between Database Management System And Information Retrieval System

Q1 (b): Difference between data and information.

Data and information is interrelated. In facts they often used interchangeably. Data

Data considered being raw data. It is represent value of qualitative and quantitative variables to set items. It comes from the form of number, letters, or set of characters.

It is need to be process before it can turn into something useful. Data also related to transaction, event and facts.

Data is raw, unorganized facts that need to be processed data can be something simple and seemingly random and useless until it is organized.

• Data is use as input for the computer.

• Data does not depend on information.

• Data is a single unit.

• Data does not carry a meaning.

• Data is a raw material.

Information

• Information is a product.

Q1 (a): Difference between database management system and information retrieval system

Database Management System (DBMS)(software) Information Retrieval System(technic)

• A software system that enable user to define, create, maintain, and control access to the database.

• This is an application program that a computer program that interacts with database by issuing an appropriate request (SQL statement) to the DBMS.

• Database work with relational databases while information retrieval system works on structured data.

• In database system, main data structure used in relational tables with well define values for each row and column. • Information retrieval (IR) is the task of finding texts matching some specific criteria within a large amount of unstructured data.

• Information retrieval used inverted index, which is the index of term entries.

• Information retrieval has three step of process is 1. Ask a question, 2. Building an answer from known data, and lastly is assessing the answer.

Q2 (a): Make appropriate use of diagrams to illustrate the underlying concepts or components of database management system and information retrieval

Non-structured data

• Unstructured data, usually binary data that is proprietary, is that which has no identifiable internal structure.

• It can be visual as a level 5 hoarder’s living room it is a massive unorganized conglomerate of various objects that are worthless until identifying and stored in an organize fashion.

• Once this organization process has by specialized software, the items can then be search through and categorized for obtaining insights.

• While data mining tools might not be equipped to parse information in email messages, you may have very good reason to collect and categorize data from this source.

• For example, an email holds information such as the time send, subject, and sender, but the content of the message is not so easily broken down and categorized.

• Another example of unstructured data is Word Processing Files, PDF files Video, Audio and Digital Images. The files listed can be stored and managed without the format of the file being by the system. This allows them to be stored in an unstructured fashion because the content is unorganized.

• Seth Grimes says