Database Systems and Business Intelligence Glossary, Exams of Nursing

A concise overview of key concepts in database systems and business intelligence. It defines essential terms such as 'attribute,' 'business intelligence,' 'concurrency control,' and 'data hierarchy.' it also covers various database models, including relational databases, and fundamental sql commands. This resource is useful for students and professionals seeking a quick reference guide to database and bi terminology, offering a foundational understanding of data management and analysis techniques. It explains the differences between data warehouses and data marts, and the role of dbms in managing databases. (410 characters)

Typology: Exams

2024/2025

Available from 07/25/2025

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DATABASE SYSTEMS & BUSINESS INTELLIGENCE
Attribute - ANScharacteristic of an entity
Business Intelligence (BI) - ANStransform raw data into useful information
concurrency control - ANStwo or more people attempting to access the same record at the same time
data center - ANSdata servers in a building that is climate controlled
Data Hierarchy - ANSData in a database organized into sequential levels
data item - ANSspecific value of an attribute
data mart - ANSsubset of warehouse for a single asset like finance
data mining - ANSDiscover patterns and relationships
data model - ANSdiagram of data and there relationship
data redundancy - ANSdata is copies and separated in several locations
data warehouse - ANSstores historical data - like transactions
database approach - ANSdata shared with multiple application
Database as a service (DaaS) - ANSaccessed by client through network like cloud computing
Database Management Systems (DBMS) - ANSinterface between the database and the user
DBMS - ANSUsed to create one or more tables
Entity Class - ANSRepresenting a row and a generalized class of people, pace or thing
Entity-relationship diagram - ANSgraphical symbols to show data
Field (column) - ANSstores a different element of data
flat file - ANSrecords with no relationships to others
joining - ANScombines two or more tables
linking - ANScombines two or more tables that share at least one common data
Logical design - ANSabstract model of data that needs to be structured
OLAB - ANSSoftware that can explore data in multiple perspectives
Physical design - ANSlogical database with cost considerations
Primary key - ANSField or set of fields that uniquely identifies the record
projecting - ANSeliminates columns
Record (row) - ANSData for one item, person or transaction
relational database model - ANSdescribes data using a standard tabular format
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Attribute - ANScharacteristic of an entity Business Intelligence (BI) - ANStransform raw data into useful information concurrency control - ANStwo or more people attempting to access the same record at the same time data center - ANSdata servers in a building that is climate controlled Data Hierarchy - ANSData in a database organized into sequential levels data item - ANSspecific value of an attribute data mart - ANSsubset of warehouse for a single asset like finance data mining - ANSDiscover patterns and relationships data model - ANSdiagram of data and there relationship data redundancy - ANSdata is copies and separated in several locations data warehouse - ANSstores historical data - like transactions database approach - ANSdata shared with multiple application Database as a service (DaaS) - ANSaccessed by client through network like cloud computing Database Management Systems (DBMS) - ANSinterface between the database and the user DBMS - ANSUsed to create one or more tables Entity Class - ANSRepresenting a row and a generalized class of people, pace or thing Entity-relationship diagram - ANSgraphical symbols to show data Field (column) - ANSstores a different element of data flat file - ANSrecords with no relationships to others joining - ANScombines two or more tables linking - ANScombines two or more tables that share at least one common data Logical design - ANSabstract model of data that needs to be structured OLAB - ANSSoftware that can explore data in multiple perspectives Physical design - ANSlogical database with cost considerations Primary key - ANSField or set of fields that uniquely identifies the record projecting - ANSeliminates columns Record (row) - ANSData for one item, person or transaction relational database model - ANSdescribes data using a standard tabular format

relationship database - ANSorganized data into multiple tables selecting - ANSeliminating and picking rows single user - ANSone person can use it at a time SQL - From - ANSspecify table SQL - Select - ANSSpecify attribute SQL - Where - ANSSpecify the condition Structured query language (SQL) - ANSstandard language for relational databases Traditional approach - ANSdata files dedicated to each system Attribute - ANScharacteristic of an entity Business Intelligence (BI) - ANStransform raw data into useful information concurrency control - ANStwo or more people attempting to access the same record at the same time data center - ANSdata servers in a building that is climate controlled Data Hierarchy - ANSData in a database organized into sequential levels data item - ANSspecific value of an attribute data mart - ANSsubset of warehouse for a single asset like finance data mining - ANSDiscover patterns and relationships data model - ANSdiagram of data and there relationship data redundancy - ANSdata is copies and separated in several locations data warehouse - ANSstores historical data - like transactions database approach - ANSdata shared with multiple application Database as a service (DaaS) - ANSaccessed by client through network like cloud computing Database Management Systems (DBMS) - ANSinterface between the database and the user DBMS - ANSUsed to create one or more tables Entity Class - ANSRepresenting a row and a generalized class of people, pace or thing Entity-relationship diagram - ANSgraphical symbols to show data Field (column) - ANSstores a different element of data flat file - ANSrecords with no relationships to others joining - ANScombines two or more tables

Database as a service (DaaS) - ANSaccessed by client through network like cloud computing Database Management Systems (DBMS) - ANSinterface between the database and the user DBMS - ANSUsed to create one or more tables Entity Class - ANSRepresenting a row and a generalized class of people, pace or thing Entity-relationship diagram - ANSgraphical symbols to show data Field (column) - ANSstores a different element of data flat file - ANSrecords with no relationships to others joining - ANScombines two or more tables linking - ANScombines two or more tables that share at least one common data Logical design - ANSabstract model of data that needs to be structured OLAB - ANSSoftware that can explore data in multiple perspectives Physical design - ANSlogical database with cost considerations Primary key - ANSField or set of fields that uniquely identifies the record projecting - ANSeliminates columns Record (row) - ANSData for one item, person or transaction relational database model - ANSdescribes data using a standard tabular format relationship database - ANSorganized data into multiple tables selecting - ANSeliminating and picking rows single user - ANSone person can use it at a time SQL - From - ANSspecify table SQL - Select - ANSSpecify attribute SQL - Where - ANSSpecify the condition Structured query language (SQL) - ANSstandard language for relational databases Traditional approach - ANSdata files dedicated to each system Attribute - ANScharacteristic of an entity Business Intelligence (BI) - ANStransform raw data into useful information concurrency control - ANStwo or more people attempting to access the same record at the same time data center - ANSdata servers in a building that is climate controlled

Data Hierarchy - ANSData in a database organized into sequential levels data item - ANSspecific value of an attribute data mart - ANSsubset of warehouse for a single asset like finance data mining - ANSDiscover patterns and relationships data model - ANSdiagram of data and there relationship data redundancy - ANSdata is copies and separated in several locations data warehouse - ANSstores historical data - like transactions database approach - ANSdata shared with multiple application Database as a service (DaaS) - ANSaccessed by client through network like cloud computing Database Management Systems (DBMS) - ANSinterface between the database and the user DBMS - ANSUsed to create one or more tables Entity Class - ANSRepresenting a row and a generalized class of people, pace or thing Entity-relationship diagram - ANSgraphical symbols to show data Field (column) - ANSstores a different element of data flat file - ANSrecords with no relationships to others joining - ANScombines two or more tables linking - ANScombines two or more tables that share at least one common data Logical design - ANSabstract model of data that needs to be structured OLAB - ANSSoftware that can explore data in multiple perspectives Physical design - ANSlogical database with cost considerations Primary key - ANSField or set of fields that uniquely identifies the record projecting - ANSeliminates columns Record (row) - ANSData for one item, person or transaction relational database model - ANSdescribes data using a standard tabular format relationship database - ANSorganized data into multiple tables selecting - ANSeliminating and picking rows single user - ANSone person can use it at a time SQL - From - ANSspecify table