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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

This includes having full visibility into the origin of the data, the transformations it underwent, its relationships, and the context that was added or stripped away from that data as it moved throughout the enterprise. This automated data catalog always provides up-to-date inventory of assets that never get stale.

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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

This type of data mismanagement not only results in financial loss but can damage a brand’s reputation. Data breaches are not the only concern. An evolving regulatory landscape presents significant challenges for enterprises, requiring them to stay ahead of complex, shifting requirements while managing compliance across jurisdictions.

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How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

AWS Big Data

This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division. The following diagram illustrates the building blocks of the Institutional Data & AI Platform.

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Use open table format libraries on AWS Glue 5.0 for Apache Spark

AWS Big Data

As organizations grapple with exponential data growth and increasingly complex analytical requirements, these formats are transitioning from optional enhancements to essential components of competitive data strategies. These are useful for flexible data lifecycle management. Delta Lake highlights AWS Glue 5.0

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How Cloudinary transformed their petabyte scale streaming data lake with Apache Iceberg and AWS Analytics

AWS Big Data

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata.

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5 recommendations to get your data strategy right

IBM Big Data Hub

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

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The Data-Centric Revolution: Semantics and the DAMA Wheel

TDAN

Recently, I was giving a presentation and someone asked me which segment of “the DAMA wheel” did I think semantics most affected. I said I thought it affected all of them pretty profoundly, but perhaps the Metadata wedge the most. I thought I’d spend a bit of time to reflect on the question and answer […].