Why Businesses Need Data Reliability Engineering
Hitachi Ventara’s Pratik Dakwala talks data reliability engineering and how it helps businesses be proactive so they can detect data issues before they become critical.
Hitachi Ventara’s Pratik Dakwala talks data reliability engineering and how it helps businesses be proactive so they can detect data issues before they become critical.
Organizations need modern ways to manage their workloads in today’s complex cloud environments.
FinOps is becoming one of the main ways leading-edge companies are getting a handle on cloud spend and maximum value out of their cloud services.
Cloud service providers and others are attempting to address cloud security issues that arise due to the traditional patchwork-style of cyber security. They intend to do this by building cloud-native application protection platforms (CNAPP), a single platform to secure cloud-native workloads.
A unified security and observability platform can automatically detect and respond to severless threats, like those targeting AWS Lambda services.
Modernizing applications allows businesses to unlock new capabilities, accelerate innovation, and reduce technical debt.
Real-time OLAP databases and streaming databases have many similarities and differences. As data requirements continue to evolve, we can expect to see more innovations in these two promising database fields.
At Gartner’s Data & Analytics Summit, we talked with John Knieriemen and Solongo Erdenekuyag, two Exasol executives, about trade-offs and balancing between capabilities and governance when selecting platforms over a collection of tools.
MLOps is one of the popular buzzwords to hit the technology industry recently. What is it, and more importantly, what is it not?
Cloud cost optimization is tricky in the real world, but FinOps tools are an underrated resource. Find out what they can–and can’t–do here.