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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

How does one express “context” in a data model? Consider this marketing attribution use case: person A sees the marketing campaign, person A talks about it on their social media account, person B is connected to person A and sees the comment, and subsequently person B buys the product. community detection ).

Metadata 250
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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 108
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Why erwin Data Intelligence 12 led me to Quest

erwin

Built on the Gartner-recognized DQLabs augmented data quality platform, erwin Data Intelligence’s new data quality offering provides erwin Data Intelligence customers with the ability to leverage erwin Data Catalog metadata to initiate a need for data quality assessment. The adventure ahead.

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Fivetran Modern Data Stack Conference 2023: Key Takeaways

Alation

We had a great time meeting with customers and demonstrating how a data intelligence platform delivers visibility across the data stack with demos. So, how can a data catalog support the critical project of building data pipelines? Mitesh Shah , VP of Product Marketing, took the stage to answer this question.

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5 Ways Data Engineers Can Support Data Governance

Alation

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. Adopt an approach of access segregation.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

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Introducing watsonx: The future of AI for business

IBM Big Data Hub

A foundation model thus makes massive AI scalability possible, while amortizing the initial work of model building each time it is used, as the data requirements for fine tuning additional models are much lower. This results in both increased ROI and much faster time to market.