For emerging security teams that don’t need overly complex tools, Sumo Logic Cloud Security Analytics addresses key security challenges without the higher cost or added complexity of enterprise-grade tooling.
Following these data pipeline best practices will help any team deliver data pipelines with the integrity needed to build trust in the data, and do so at scale.
To knock down the barriers to delivering business value from data, organizations need to envision a new type of intelligence in their data pipelines.
Hitachi Ventara’s Taqi Hasan discusses cost management and security challenges enterprises face today and how automated Hitachi Ventara services can help.
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.
A chat with Sean Knapp, founder and CEO of Ascend.io, about the challenges businesses face with data pipelines and how data pipeline automation can help.
Intelligent data pipelines serve as a transformative solution for organizations seeking to stay competitive in an increasingly data-driven world.
Borrowing from SRE and DevOps and bringing data into the fold just as these groups did with infrastructure and applications, data reliability engineering is the practice of delivering high data availability and quality.
A unified security and observability platform can automatically detect and respond to severless threats, like those targeting AWS Lambda services.