As businesses shift toward smarter digital infrastructures, the database landscape is rapidly evolving. Siva Prasad Nandi, a researcher in cloud-native technologies, explores the rise of serverless ...
In our initial article we examined the lesser-discussed but quickly expanding use of generative artificial intelligence (gen AI) systems that leverage large language models (LLMs) to query data stored ...
Today’s enterprises continue to invest aggressively in “cloud-first” strategies and architectures. All industries and verticals are adopting cloud services across all layers of cloud deployment models ...
The traditional practices of database management are being rapidly outgrown by organizations increasing their adoption of cloud services and automation. While these businesses are feverishly reaching ...
The advancing world of cloud and automation is inciting a transitory period for many enterprises working to adapt; these changes are sparking a domino effect within enterprise tech stacks. Database ...
Heterogeneous database management system from Quest Software supports dozens of relational, NoSQL, and data warehouse sources, both on-prem and cloud-based. Systems management and security software ...
Database administrator has been a long-standing and highly in-demand job. But technology, as it has with desktop, server and storage administrators, continues to march on and change the role of ...
It would seem that the adoption of cloud databases – those delivered via a cloud consumption model – is ramping up. According to Gartner, the transition of DBMS software purchasing – moving from ...
Google is set to showcase some of its latest work in data management, artificial intelligence and cloud technology at its Google Cloud Next 2025 event in Las Vegas next week. I expect Next 25 to offer ...
Join the AWSome Day Online Conference, a one-day cloud training session tailored for both technical and business professionals keen to maximise the potential of their data. While it’s been 20 years ...
Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...
Data management, already of significant importance for operational and business intelligence purposes, has taken on a new level of priority for businesses and organizations as the wave of AI ...
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