Overview: PostgreSQL ETL tools help manage growing data volumes by automating extraction, transformation, and loading from ...
Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...
The next stage of cloud-native infrastructure is employing Kubernetes as an orchestration platform for AI workloads, with an emphasis on supporting autonomous agents. Vast Data Inc. is positioning ...
Nine police forces are seeking to replace their common records managements system (RMS) with a cloud-based alternative – but despite upcoming changes to the UK’s data laws, experts say the strong ...
Apple's efforts in AI could pay off in its WWDC announcements, but it is also very keen to protect user data at the same time. Here's how it will get done. Apple is expected to make a number of big ...
Police Scotland chose not to consult the data regulator before deploying its cloud-based digital evidence-sharing system, despite identifying a number of “high risks” with the data processing, freedom ...
Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...
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Architecting Data for Impact: How Arun Ayilliath Keezhadath Turns Cloud-Scale Challenges into Lasting Solutions
Cloud data engineering and enterprise-scale analytics is evolving field in India. Arun Ayilliath Keezhadath has made a notable and practical impact in it. With nearly two decades of experience in ...
Cloud computing has become a household term with growing significance and traction in the technology world. Simply stated, cloud refers to any service offered over the Internet. The concept behind ...
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