A data hub is a center of data exchange that is supported by data science, data engineering, and data warehouse technologies to interact with endpoints such as applications and algorithms.[1]
Featuresedit
A data hub differs from a data warehouse in that it is generally unintegrated and often at different grains. It differs from an operational data store because a data hub does not need to be limited to operational data.
A data hub differs from a data lake by homogenizing data and possibly serving data in multiple desired formats, rather than simply storing it in one place, and by adding other value to the data such as de-duplication, quality, security, and a standardized set of query services. A data lake tends to store data in one place for availability, and allow/require the consumer to process or add value to the data.
Data hubs are ideally the "go-to" place for data within an enterprise, so that many point-to-point connections between callers and data suppliers do not need to be made, and so that the data hub organization can negotiate deliverables and schedules with various data enclave teams, rather than being an organizational free-for-all as different teams try to get new services and features from many other teams.
Referencesedit
^Christianlauer (2021-01-22). "What is a Data Hub?". Toward Data Science. Retrieved 2022-09-07.
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data, this, article, needs, additional, citations, verification, please, help, improve, this, article, adding, citations, reliable, sources, unsourced, material, challenged, removed, find, sources, news, newspapers, books, scholar, jstor, august, 2018, learn, . This article needs additional citations for verification Please help improve this article by adding citations to reliable sources Unsourced material may be challenged and removed Find sources Data hub news newspapers books scholar JSTOR August 2018 Learn how and when to remove this message A data hub is a center of data exchange that is supported by data science data engineering and data warehouse technologies to interact with endpoints such as applications and algorithms 1 Features editA data hub differs from a data warehouse in that it is generally unintegrated and often at different grains It differs from an operational data store because a data hub does not need to be limited to operational data A data hub differs from a data lake by homogenizing data and possibly serving data in multiple desired formats rather than simply storing it in one place and by adding other value to the data such as de duplication quality security and a standardized set of query services A data lake tends to store data in one place for availability and allow require the consumer to process or add value to the data Data hubs are ideally the go to place for data within an enterprise so that many point to point connections between callers and data suppliers do not need to be made and so that the data hub organization can negotiate deliverables and schedules with various data enclave teams rather than being an organizational free for all as different teams try to get new services and features from many other teams References edit Christianlauer 2021 01 22 What is a Data Hub Toward Data Science Retrieved 2022 09 07 nbsp This database software related article is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title Data hub amp oldid 1170667194, wikipedia, wiki, book, books, library,
