Qué (quién) es data warehouse - definición

SYSTEM USED FOR REPORTING AND DATA ANALYSIS, AS A CORE COMPONENT OF BUSINESS INTELLIGENCE

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data warehouse

<database> (Or corporate data warehouse, CDW) Any system for storing, retrieving and managing large amounts of data. Data warehouse software often includes sophisticated compression and hashing techniques for fast searches, as well as advanced filtering. A data warehouse is often a {relational database} containing a recent snapshot of corporate data and optimised for searching. Planners and researchers can use this database without worrying about slowing down day-to-day operations of the production database. The latter can be optimised for transaction processing (inserts and updates). Compare data mart. (2007-05-16)

data warehousing

data warehouse

Data warehouse

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources.

https://en.wikipedia.org/wiki/Data_warehouse

Wikipedia

Data warehouse

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence. Data warehouses are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise. This is beneficial for companies as it enables them to interrogate and draw insights from their data and make decisions.

The data stored in the warehouse is uploaded from the operational systems (such as marketing or sales). The data may pass through an operational data store and may require data cleansing for additional operations to ensure data quality before it is used in the data warehouse for reporting.

Extract, transform, load (ETL) and extract, load, transform (ELT) are the two main approaches used to build a data warehouse system.

https://en.wikipedia.org/wiki/Data warehouse

Ejemplos de pronunciación para data warehouse

1. So we knew from SQL data warehouses,

Fast Data Search Engine _ Peter Bailis _ Talks at Google

2. how big would Google's data warehouse be?

ted-talks_1993_RandallMunroe_2014-320k

3. on the dollar in a commodity data warehouse like HDFS,

Fast Data Search Engine _ Peter Bailis _ Talks at Google

4. data warehouse, it’s such a wonderful term. In its symbolic aspects that, unfortunately,

David Stephenson _ Talks at Google

5. often stuff gets into the data warehouse and we never see it again.

David Stephenson _ Talks at Google

Ejemplos de uso de data warehouse

1. Oracle ranked first in three separate categories, i.e. middleware, data warehouse and business intelligence and databank applications.

2. Wal–Mart achieves this with the help of a data warehouse that stores more information than all the fixed pages on the Internet combined.

3. Ickes said his new venture, Data Warehouse, will at first seek to sell its targeting information to politically active unions and liberal interest groups, rather than campaigns.

4. "They were much more sophisticated in their message delivery." Ickes has quietly raised an estimated $7.5 million in start–up money for Data Warehouse.

5. He and Quinn, who will be chief executive of Data Warehouse, have hired technology specialists from internet retailer Amazon.com and a Harvard–Massachusetts Institute of Technology computer project.