The data mesh architecture promised to eliminate the inefficiencies and errors of the data lake. What went wrong?
"Any Python developer should be able to bring their business users closer to fresh, reliable data," Matthias Krzykowski, ...
Michael O'Connell, Chief Analytics Officer at Spotfire explores how the company uses data science, geospatial analytics and ...
In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery ...
For the past two decades, distributed caches, also known as in-memory data grids, have been used to address such challenges.
Billions suffer from funding shortfalls for development. While we feed a system that allows the spending of hundreds of billions annually to build AI infrastructure.
This is the crux of the organizational challenge. Business units want AI capabilities now. Technology teams understand that ...
The AWS crash exposed centralization risks. Here’s how decentralized storage can make the internet more resilient.
Abstract: This study is dedicated to the integration of big data analytics with edge computing, a critical need driven by the exponential growth of Internet of Things (IoT) technologies and smart ...
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