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How cost, infrastructure, and data constraints are reshaping the future of software engineering.

In an era where businesses must adapt to fast-paced environments, real-time automated decision-making has become a cornerstone of operational efficiency and competitive advantage. This capability involves a seamless blend of decision logic, cutting-edge infrastructure, robust data strategies, and precise application handling. Organizations striving for agility and responsiveness must master the art of designing systems that enable instant, data-driven decisions while ensuring consistency, accuracy, and scalability...

Noted. This is something I had covered in high level in a previous blog posts: https://medium.com/analytics-and-data/cdp-and-dmp-a-story-of...

But that I might want to cover in more details in the future.

Yeah the addition of window functions onto sqlite last year was quite a good feature to enable more data use cases with sqlite.

The exclude clause is part of the "window" configuration which defines which row to process, with it you can for instance define a range between all the previous and next rows and check if your data-point looks abnormal.

Not a fan of YAML, but it has its advantages over JSON, such as the ability to comment specific portions easily.

Haven't used TOML yet, but it seems promising given that for most use cases you would only use a portion of the YAML language.