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Data Management Made Easy: The Power of Data Fabrics and Knowledge Graphs

Ontotext

Data management is becoming increasingly challenging for organizations. With an unprecedented amount and diversity of data coming from various sources, it’s like trying to put together a picture with pieces from different puzzles. In addition, there is a growing trend of automating data integration and management processes.

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RDF-Star: Metadata Complexity Simplified

Ontotext

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. Graph Databases vs Relational Databases. Relational databases (RDBS) have been the workhorse of ICT for decades.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data?

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

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How a data fabric overcomes data sprawls to reduce time to insights

IBM Big Data Hub

Data agility, the ability to store and access your data from wherever makes the most sense, has become a priority for enterprises in an increasingly distributed and complex environment. That’s where the data fabric comes in. Data fabric in action: Retail supply chain example.

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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

What Makes a Data Fabric? Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. It is a buzzword.

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You Cannot Get to the Moon on a Bike!

Ontotext

There’s been a lot of criticism that knowledge graphs are too complex. So, why do we recommend knowledge graphs, which are perceived to be complex, to our customers? Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time.