Data warehouse acquisition

  • What is data acquisition in data warehouse?

    The process of data acquisition includes obtaining pertinent business information, translating it into the needed business format, and feeding it into the target system..

  • What is the process of acquiring and putting data into a data warehouse called?

    To get data into your data warehouse, you need to use a type of software commonly called ETL software.
    Extract, transform, load (ETL) is a process where the data is extracted, made ready for use, then loaded into the data warehouse..

  • Data Acquisition Tools
    ETL, or extract, transform, and load, is a procedure used in data warehousing.
    During this procedure, data is extracted from multiple data source systems, transformed in the staging area, and loaded into the Data Warehouse system.

Data Extraction

It is the process of reading the data from the following operational source systems (External to the organization and Internal databases).
1) Relational Systems—-Oracle, SQL Server, DB2, Sybase, Informix, Redbrick.
2) File sources: XML, COBOL, Flat files, weblog.
3) Legacy systems: Mainframes, VSAM.
4) Other sources: MS-Access, MS-Excel, MQ Series, TIB.

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What is data analysis in data warehouse?

Data analysis is used to offer deeper information about the performance of an organization by comparing combined data from various heterogeneous data sources.
A data warehouse runs queries and analyses on the historical data that are obtained from transactional resources.

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What is data warehousing?

It can also be referred to as electronic storage, where businesses store a large amount of data and information.
It is a critical component of a business intelligence system that involves techniques for data analysis.
Data warehousing is a mixture of technology and components that enable a strategic usage of data.

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What is the difference between a database and a data warehouse?

A database is built primarily for fast queries and transaction processing, not analytics.
A database typically serves as the focused data store for a specific application, whereas a data warehouse stores data from any number (or even all) of the applications in your organization.


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