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14 Cards in this Set
- Front
- Back
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Difference between data and information |
Data is unprocessed and facts and symbols that may contained valuable information Information is processed but figures symbols to provide meaningful data to improve quality and decision making |
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Digital assets DAMS |
Are assets that are held in a digital form such as images PDF videos and gifs Digital asset management system So we can hold digital assets centrally accessibly securely and logically designed repository |
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Data security |
The thief garden are important information from corruption, compromise or loss Need to comply with gdpr to avoide fines or legal action |
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Modern organisational structure to data |
CDO governance protection or data and well as strategies to optimise data as an asset
Data strategy part of the overall corporate strategy to identify store provision process and govern.
Culture promotion of data across the business
Training security training comply with legislation security training comply with legislation
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Data engineering, extraction and mining |
Data engineering is a system to design collect store analyze large data |
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ETL |
Extraction transformation and loading the three stages to transfer data to be combined into one single tool bringing various sources to a single destination. Data 1 Data 2 ETL SYSTEM DATA WAREHOUSE Data 3 |
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Extraction |
Data harveyford from a variety of different sources which is called data profiling of the extraction phase |
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Transformation |
Source data is being converted into the required format for its intended use |
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Loading |
The newly cleaned and saw it data being moved to the destination which is the database warehouse which can then be used by the b BI function |
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ETL and bi relationship |
ETL is a component of a wider BI process provides data for BI access further information insight and data visualisation |
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Finance function relationship data engineering extraction mining
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Finance act as an interface between the two the data sciences specialists and business need to work together at the logical and physical level |
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Data modeling |
Allows data to be stored and retired in an effective manner
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Levels of data modeling |
Conceptual business oriented and practical considering business data and requirements
Logical developing a technical map of rules of how data is held and used
Physical database management system dbms how to implement |
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Data manipulation |
Altering data to make it easier to read involves adding deleting querying and modifying data in a data store using data manipulation language DML |
