Unit 3: Data Resource Management

Question 1

Big Data

Answer 1

Data that is collected from all over the internet, including smartphone metadata, internet usage records, social media activity, computer usage records, and countless other data sources.

Question 2

Data Management (DM)

Answer 2

The practices, architectural techniques, and tools for achieving consistent access to and delivery of data across the spectrum of data subject areas and data structure types in the enterprise.

Question 3

Data Management Processes

Answer 3

The process of acquiring data, making sure the data are valid, and then storing and processing the data into usable information for a business.

Question 4

Data Mining

Answer 4

The examination of huge sets of data to find patterns and connections and identify outliers and hidden relationships.

Question 5

Database Management Systems (DBMS)

Answer 5

An application software that is used to create a collection of related files that consist of records of data separated by fields that can be queried to produce populations of information.

Question 6

Databases

Answer 6

Well-thought-out collections of computer files, the most important of which are called tables.

Question 7

Extract, Transform, and Load

Answer 7

Tools that are used to standardize data across systems and allow the data to be queried

Question 8

Semi-structured Data

Answer 8

Data that can be converted into structured data with a lot of work.

Question 9

Structured Data

Answer 9

Resides in a fixed format. It is typically well labeled and often with traditional fields and records of common data tables.

Question 10

Unstructured Data

Answer 10

Unorganized data that cannot be easily read or processed by a computer because it is not stored in rows and columns like traditional data tables.