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Scoop.it!
An agile approach to overhauling data architecture improves speed, flexibility, and innovation.
Farid Mheir's insight:
WHY IT MATTERS: I agree with those 6 recommendations. 
Scoop.it!
At first glance, the data fabric and the data mesh concepts sound quite similar. Meshes are often made from a type of fabric, after all, and they are both malleable items that can be lain atop things–in this case, your IT systems that are subject to the ever-growing data crush. But there are fundamental differences to these two approaches, so it’s worth taking some time to learn their differences.
Farid Mheir's insight:
WHY IT MATTERS: a great overview of 2 popular data architectures.
Scoop.it!
Data fabric is a hot, emerging market that delivers a unified, intelligent, and integrated end-to-end platform to support new and emerging use cases. The sweet spot is its ability to deliver use cases quickly by leveraging innovation in dynamic integration, distributed and multicloud architectures, graph engines, and distributed in-memory and persistent memory platforms. Data fabric focuses on automating the process integration, transformation, preparation, curation, security, governance, and orchestration to enable analytics and insights quickly for business success. It minimizes complexity by automating processes, workflows, and pipelines, generating code and streamlining data to accelerate various use cases such as customer 360, data science, fraud detection, internet-of-things (IoT) analytics, risk analytics, and healthcare insights.
Farid Mheir's insight:
WHY IT MATTERS: the net net of this report is that you should move all your data to the cloud and leverage very nimble solutions to aggregate, consolidate and massage data.
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Curated by Farid Mheir
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