You make a small change to your table, adding a single row, and it affects data lake performance because, due to the way they work, a new file has to be written that contains one row, and then a bunch of metadata has to be written. This is very inefficient, because formats like Parquet really don't want to store a single row, they want to store a million rows.
"This is more likely to complement existing SIEMs than replace them. Early adoption will come from large enterprises already committed to Databricks, especially those seeking flexibility or cost control."
A future-proof IT infrastructure is often positioned as a universal solution that can withstand any change. However, such a solution does not exist. Nevertheless, future-proofing is an important concept for IT leaders navigating continuous technological developments and security risks, all while ensuring that daily business operations continue. The challenge is finding a balance between reactive problem solving and proactive planning, because overlooking a change can cost your organization. So, how do you successfully prepare for the future without that one-size-fits-all solution?
Developers have spent the past decade trying to forget databases exist. Not literally, of course. We still store petabytes. But for the average developer, the database became an implementation detail; an essential but staid utility layer we worked hard not to think about. We abstracted it behind object-relational mappers (ORM). We wrapped it in APIs. We stuffed semi-structured objects into columns and told ourselves it was flexible.
