dataFactory Description
Eliminate all manual processes, errors and wasted time. Re-engineering your data warehouse each time a change in business occurs is not necessary. Use automatic quality checks between and within sources, and act quickly when necessary. This is crucial for hundreds data consumers. Now, you can trust your data. Build your "gold records" referential to ensure that the business teams always have the most recent data. One version of the truth available anywhere and anytime. Build an intermediate model to structure, store, and historicalize your data independent of their use. Respond quickly to changing sources and business requirements. Connect all your sources (datalake, operational system, excel, relational database and legacy tools) as easily as you did the first source. To facilitate data warehouse automation, store, historicalize, and improve the quality of data. Data is structured, documented, and enriched to be available as datasets (information stores).
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Integrations
Company Details
Company:
dFakto
Year Founded:
2000
Headquarters:
Belgium
Website:
www.dfakto.com/datafaktory-data-warehouse-automation/
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