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C175 Data Management - Terms

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C175 Data Management - Terms

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C175 Data Management - Terms

Big Data - ANS-Refers to data sets whose sizes are beyond the capability of commonly
used software tools to capture, store, manage and process within acceptable time limits.

Data - ANS-Facts gathered together for analysis - Collection of raw facts from which
conclusions might be drawn.

Data Center - ANS-A facility that contains information storage and other physical
information technology (IT) resources for computing, networking, and storing
information.

Data Explosion - ANS-Inexpensive and easier ways to create, collect, and store all
types of data, coupled with increasing individual and business needs, have led to
accelerated growth.

Data Science - ANS-Enables organizations to derive business value from Big Data.

Data Storage - ANS-Devices designed for storing data

Digital Data - ANS-Stored as things of binary numbers (0s and 1s)

Flat Files - ANS-A file having no internal hierarchy

Hashed Files - ANS-A file that has been encrypted for security purposes.

Heap Files - ANS-An unsorted set of records

Information - ANS-The transformation of raw data into useful facts.

Punch card - ANS-A card that is perforated and can hold commands or data.

Structured Data - ANS-Information with a high degree of organization. Organized in
rows and columns in a rigidly defined format. Typically stored using a database
management system (DBMS).

Unstructured Data - ANS-Information that does not have structure (such as text).

, Attribute - ANS-A property or characteristic of an entity. Employee number, weight of an
automobile, company's address, or date of sales meeting.

Binary Relationship - ANS-It is a relationship between two entity types.

Cardinality - ANS-It is the maximum number of entities that can be involved in a
particular relationship.

E-R Model - ANS-It is well named, as it diagram entities (together with their attributes)
and the relationships among them.

Entity - ANS-Object or event in our environment that we want to keep track of. Person,
building, piece of inventory on a shelf, finished product ready for sale, sales meeting or
an event.

Intersection data - ANS-The combination of or the association between a particular
entity and another.

Modality - ANS-It is a minimum number of entity occurrences that can be involved in a
relationship.

One-to-One Binary Relationship - ANS-It means that a single occurrence of one entity
type can be associated with a single occurrence of the other entity type and vice versa.

Ternary Relationship - ANS-A ternary relationship involves three different entity types.

Unary Relationship - ANS-It is an associate occurrence of an entity type with other
occurrences of the same entity type.

Unique Identifier - ANS-It is used to uniquely identify each record in a database table.

Candidate Key - ANS-If a relation has more than one attribute or minimum group of
attributes that represents a way of uniquely identifying the entities, then they are each
called a candidate key.

Computer Security - ANS-It includes protecting the physical hardware environment,
defending against hacker attacks, encrypting data transmitted over networks, educating
employees on the important of protecting the company's data, and many more.

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