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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange. Before we jump into the data ingestion step, here is a quick overview of how Ozone manages its metadata namespace through volumes, buckets and keys. . Data ingestion through ‘s3’. Ozone Namespace Overview.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

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10 Years Later: Who’s the GOAT of Data Catalogs?

Alation

June 2017: Dresner Advisory Services names Alation the #1 data catalog in its inaugural Data Catalog End-User Market Study. August 2017: Alation debuts as a leader in the Gartner MQ for Metadata Management Solutions. August 2018: Gartner names Alation a 2X Leader in the MQ for Metadata Management Solutions.

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AI Governance: Break open the black box

IBM Big Data Hub

Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. ( IBM Global AI Adoption Index 2022.). This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. What is stopping AI adoption today?

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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

These and many other questions are now on top of the agenda of every data science team. To quantify how well your models are doing, DataRobot provides you with a comprehensive set of data science metrics — from the standards (Log Loss, RMSE) to the more specific (SMAPE, Tweedie Deviance). Learn More About DataRobot MLOps.

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AI at Scale isn’t Magic, it’s Data – Hybrid Data

Cloudera

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. This leads to the obvious question – how do you do data at scale ? Al needs machine learning (ML), ML needs data science. Data science needs analytics.

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7 enterprise data strategy trends

CIO Business Intelligence

Data fabric is an architecture that enables the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems. The fabric, especially at the active metadata level, is important, Saibene notes.