Anshuman Attri

A common conversation starts with “we need help with our data lake” and, partway through scoping, turns into “should this actually be

“Build vs buy” is a decision every technology function eventually has to make explicitly, and data infrastructure isn’t exempt. Should your organization

Plenty of companies have a story about a consulting engagement that produced a polished slide deck, a lot of meetings, and not

Building a data lake is one decision. Keeping it running well – governed, secure, cost-efficient, and actually useful to the teams depending

Implementing a data lake is a project, not a single technical task – and treating it like one is where a lot

Moving a data lake to the cloud sounds, on paper, like a storage problem: copy the files from one place to another.

It’s easy to talk about a data lake as if it were the entire data strategy – the thing you build, and

Choosing a data lake platform isn’t a decision most enterprise teams get to revisit casually – migrating between major platforms later is

A data lake serving one team and a handful of pipelines is a fundamentally different engineering problem than a data lake serving

Most articles on this topic give you a list of technical differences or a set of example use cases and leave you