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Yankees vs Red Sox. Barcelona vs Real Madrid. Tyson vs Holyfield. And now, arguably the greatest rivalry the world (well, at least the data community) has ever witnessed: DataFabricvsDataMesh! Datafabric and datamesh are both having a moment.
Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where datamesh and datafabric come into play. But what are the key.
Datafabric and datamesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.
Datafabric is now on the minds of most data management leaders. In our previous blog, DataMeshvs. DataFabric: A Love Story , we defined datafabric and outlined its uses and motivations. The data catalog is a foundational layer of the datafabric.
On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends.
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