Cloud, microservices, and data mess? Graph, ontology, and application fabric to the rescue.

ZDNet 

How do you solve the age-old data integration issue? We addressed this in one of the first articles we wrote for this column back in 2016. It was a time when key terms and trends that dominate today's landscape, such as knowledge graphs and data fabric, were under the radar at best. Data integration may not sound as deliciously intriguing as AI or machine learning tidbits sprinkled on vanilla apps. Still, it is the bread and butter of many, the enabler of all cool things using data, and a premium use case for concepts underpinning AI, we argued back then.

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