Data Architecture Data Integration Definition Modeling 
erwin
JANUARY 9, 2020
Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. Today’s data modeling is not your father’s data modeling software.
CIO Business Intelligence
MARCH 24, 2023
Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.
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Ontotext
JULY 9, 2020
There is no easy answer to these questions but we still need to make sense of the data around us and figure out ways to manage and transfer knowledge with the finest granularity of detail. Knowledge graphs, the ones with semantically modeled data even more so , allow for such a granularity of detail.
BizAcuity
APRIL 6, 2022
There is no definite answer. We do see crypto as a sustainable revenue model but at the same time, we cannot ignore the fact that at present, cryptocurrencies are extremely volatile and a slump in crypto prices could affect casino revenue adversely. Sounds like a win-win situation.
Ontotext
MARCH 27, 2024
For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. Knowledge graphs model knowledge of a domain as a graph with a network of entities and relationships.
Ontotext
FEBRUARY 7, 2024
However, what we usually don’t talk about when generating an asset, are the huge invisible or unplanned costs occurring at a later stage when the data needs to be made available for analysis or secondary usage. As a result, a big portion of the IT capacity in Pharma is bound by data integration.
Jen Stirrup
MARCH 29, 2023
However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface.
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