Operations | Monitoring | ITSM | DevOps | Cloud

Your Security Operations Center (SOC) faces complex challenges for keeping corporate data safe and in the right hands everyday. The right tooling is critical for success. Deciding when—and how—to make investments in SOC tooling is complex and challenging across organizations. There’s a ton of vendor spin out there and it’s important to understand what’s real and what isn’t.

ChatGPT has taken the world by storm, so much so that we are all left guessing how far this will go. And it’s not a trivial question, as it relates to the future of humanity itself. On one extreme, technology is increasing rapidly enough to synthesize some of the most fundamental parts of our existence—communicating naturally with one another. That can be a scary thought.

The amount of data organizations handle has created the need for faster data access and processing. Data Denormalization is a widely used technique to improve database query performance. This article discusses data normalization, its importance, how it differs from data normalization and denormalization techniques. Importantly, I’ll also look at the pros and cons of this approach.

What’s the right way to manage growing volumes of enterprise data, while providing the consistency, data quality and governance required for analytics at scale? Is centralizing data management in a data lake the right approach? Or is a distributed data mesh architecture right for your organization? When it comes down to it, most organizations seeking these solutions are looking for a way to analyze data without having to move or transform it via complex extract, transform and load (ETL) pipelines.

If the past year has taught us anything, it’s that the more things change, the more things stay the same. The whiplash and pivot from the go-go economy post-pandemic to a belt-tightening macroeconomic environment induced by higher inflation and interest rates has been seen before, but rarely this quickly. Technology leaders have always had to do more with less, but this slowdown may be unpredictable, longer, and more pronounced than expected.