Co-authored by Shamnad Mohamed Shaffi of Amazon Web Services, Sunish Vengathattil of Clarivate Analytics, and Jinal Mehta of Amazon, the study explores how a cutting-edge data lakehouse architecture ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data lake is defined as a centralized and scalable storage repository ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

Explore how Lakehouse and LakeDB models are shaping data architectures for autonomous AI systems, ensuring governance and ...

In this article, we explore how AI agents are reshaping software development and the impact they have on a developer’s workflow. We introduce a practical approach to staying in control while working ...

Copies of large datasets tend to proliferate in many organizations because they reside in a data lake that lacks the ability to perform the work necessary to turn that information into business ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

Remember the days before the relational database? Neither do I, so I have no idea how painful it was to keep track of data back then. But even after relational databases became more mainstream, data ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

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