Data Warehousing - Exam III

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Author:
mjweston
ID:
242089
Filename:
Data Warehousing - Exam III
Updated:
2013-10-24 06:27:01
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Data Warehousing
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Big Data
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  1. Data Warehouse
    a pool of data produced to support decision making  - a repository of current and historical data
  2. data warehouse
    a physical repository where relational data are specially organized to provide enterprise-wide, cleansed data in a standardized format
  3. data warehouse
    a collections of integrated, subject-oriented databases designed to support DSS functions, where each unit of data is non-volatile (doesn't change) and relevant to some moment in time
  4. data mart
    a smaller subset of a data warehouse that is focused on a particular subject or department typically consisting of a single subject area
  5. dependant data mart
    a subset that is created directly from a data warehouse - ensures that the end user is viewing the same version of the data that is accessed by all other data warehouse users
  6. independent data mart
    a small data warehouse designed for a strategic business unit or a department - an alternative to high cost data warehouses
  7. data marts
    operational data stores
    enterprise data warehouses (EDW)
    three main types of data warehouses
  8. operational data stores - don't do analytics in an operational database
    provides a fairly recent form of customer information - an interim staging area for a data warehouse contaning only very recent information
  9. oper marts
    a data mart created when operational data needs to be analyzed multidimentionally
  10. enterprise data warehouses (EDW)
    a large-scale data warehouse that is used across the enterprise for decision support - to provide data for many types of DSS
  11. metadata
    describe the structure of and some meaning of the data
  12. syntactic - describe the syntax of data
    structural - describe the structure of data
    semantic - describe the meaning of data
    three types of metadata
  13. data access
    data federation - integration
    change capture
    three major processes in data integration
  14. data integration
    comprises three major processes: data access, data federation, & change capture
  15. enterprice application integration (EAI) - (mostly "the cloud" today)
    a technology that provides a vehicle for pushing data from source systems into a data warehouse (shares applications - not data as its focus)
  16. enterprise information integration - (also used in streaming and real-time data analysis)
    an evolving tool space that promises real-time data integration from a variety of sources
  17. extraction, transformation, and load (ETL)
    process that consumes 70% of time in a data-centric process and consists of reading data from one or more database, converting the extracted data and putting it into the data warehouse
  18. alert systems (as opposed to periodic reporting systems)
    systems that monitor the data flowing into the warehouse and inform all key people who have a need to know as soon as a critical event occurs
  19. hard benefits
    benefits to an organization that can be expressed in monetary terms
  20. traditional warehouse
    type of data warehouse used for strategic decisions only and uses highly restrictive reporting to confirm or check existing processes & patterns
  21. active data warehouse
    type of warehouse used for both strategic & tactical decisions - allowing  a high number of users - and allows for flexible ac hoc reporting

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