Remove 2019 Remove Data Lakes Remove Data Silos
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Data mesh

Dataconomy

This shift aims to streamline analytics and data science initiatives, treating data as a product to improve overall efficiency. The origin of data mesh The concept of data mesh was introduced by Zhamak Dehghani at Thoughtworks in 2019. Proper management practices are critical to mitigate this risk.

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Drowning in Data? A Data Lake May Be Your Lifesaver

ODSC - Open Data Science

Such growth makes it difficult for many enterprises to leverage big data; they end up spending valuable time and resources just trying to manage data and less time analyzing it. One way to address this is to implement a data lake: a large and complex database of diverse datasets all stored in their original format.

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Why Easier Governance Is Superior Governance

Alation

And those who practice these “old school” governance methods have little confidence in their efficacy: 73% of Ventana research participants stated that spreadsheets were a data governance concern for their organization, while 59% viewed incompatible tools as the top barrier to a single source of truth. And it’s growing in popularity.

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Adapting to Change: Finding Opportunity in Crucible Moments

Alation

A restaurant experience of 2019 is much different than one today. So, ARC worked to make data more accessible across domains while capturing tribal knowledge in the data catalog; this reduced the subject-matter-expertise bottlenecks during product development and accelerated higher quality analysis.

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Advance environmental sustainability in clinical trials using AWS

AWS Machine Learning Blog

For instance, in 2021, we saw a significant increase in awareness of clinical research studies seeking volunteers, which was reported at 63% compared to 54% in 2019 by Applied Clinical Trials. Decentralized clinical trials, however, often employ a singular data lake for all of an organization’s clinical trials.

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