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At data.world, we’re proud to be recognized as a premier data catalog in the data governance industry. And we were...
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Scaling enterprise infrastructure. A big project for some, and a horrifying thought for many. Your once small and manageable issues...
Learn moreTo meet today’s demands, state and local governments must quickly expand their data and analytics capabilities and maximize the value...
Download nowIf you’re not reviewing how things went, you simply won’t know. Many companies do retrospectives (also called post mortems) to...
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Are you a data leader with a technical data strategy and struggling to connect it with the business? Are you...
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Recently, our colleague Juan Sequeda published a technical breakdown of two methods aimed at making answering data questions easier: Data...
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Collaboration and contribution are two of the most discussed concepts inside the data.world product team, and consequently the areas we’ve...
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A data governance strategy is a well-curated plan for managing your organization's data. It outlines how data should be organized...
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Sports analytics requires video, scouting textual reports, streaming data, numerical results of games. How can these types of analytics be...
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In our last post , we addressed the market definition of data mesh. Now we’re sharing our point of view...
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An AI agent is software that autonomously performs tasks and makes decisions based on predefined goals. It uses artificial intelligence...
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Data architecture is more layered than an onion. Data, metadata, access, transform, virtualization, visualization. And with the modern data stack,...
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