MN204 Week 7: Data, Databases & Big Data Flashcards

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Comprehensive vocabulary flashcards covering Data Management, DBMS, Big Data, Data Warehousing, and Knowledge Management based on Week 7 Lecture 1 notes.

Last updated 4:53 PM on 5/16/26
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31 Terms

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Data

The fuel for business used to make decisions, improve performance, and find new ideas.

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Clickstream data

Information regarding what users do on websites.

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GDPR

EU Law designed to protect personal data.

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Data Governance

The management of data across an entire company, including rules, policies, security, storage, and usage.

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Master Data

Important core data about entities like customers, products, and employees, aimed at providing 'one version of truth.'

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Bit

The smallest unit in the data hierarchy.

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Database Management System (DBMS)

Software that manages databases and solves problems like data redundancy, isolation, and inconsistency.

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Data Integrity

The practice of keeping data correct within a database system.

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Entity

An object in a relational database model, such as a customer.

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Instance

One row of data within a table.

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Attribute

Specific information about an entity, represented as columns in a table.

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Primary Key

A unique ID for each row in a table.

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Foreign Key

A field that links tables together in a relational database model.

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Big Data

Huge amounts of data that are too large for normal systems, characterized by high volume, velocity, and variety.

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NoSQL

Databases designed to handle large, flexible data sets.

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Hadoop

A big data processing system.

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MapReduce

A tool used to process large data sets.

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Data Warehouse

A large storage system containing historical business data used for strategic decision making.

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Data Mart

A smaller, cheaper, and faster-access version of a data warehouse designed for a specific team or department.

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Data Lake

A big storage area for raw, less organized data such as social media posts, videos, and customer clicks.

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Non-Volatile

A characteristic of data warehouses where data is stable and usually not changed.

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OLAP (Online Analytical Processing)

Technology that helps businesses analyze trends, compare information, and make reports quickly.

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ETL

The data integration process consisting of Extract, Transform, and Load.

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Metadata

Known as 'data about data,' providing details like file names, data type, and date created.

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Knowledge Management (KM)

The process of managing and sharing important company knowledge to improve decision making and learning.

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Explicit Knowledge

Knowledge that is easy to record and share, such as manuals, reports, and documents.

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Tacit Knowledge

Personal experience and skills, like problem-solving ability, which are harder to record.

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SQL (Structured Query Language)

A query language used to search, update, and manage data in databases.

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QBE (Query By Example)

A visual and simple way to search databases, often used by beginners.

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Entity Relationship Modelling (ERD)

A diagram showing how data entities connect to one another.

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Cardinality

A measurement in ERDs showing how many entities can connect, such as One-to-One, One-to-Many, or Many-to-Many.