Composable Workflows and Commodity Compute: The New Data Engineering Stack in 2016
It’s January 2016, and the field of data engineering is almost unrecognizable from where it stood just a few years ago.
It’s January 2016, and the field of data engineering is almost unrecognizable from where it stood just a few years ago.
As 2015 draws to a close, Haskell continues to quietly influence how we think about abstractions, structure, and semantics in computation — not just locally,...
In December 2015, as Spark 1.6 was gaining traction across the data world, one of its most powerful ideas was hiding in plain sight: homomorphism.
In the world of Haskell — and functional programming more broadly — you’ll often hear terms like functor, monoid, and homomorphism.
In the landscape of programming languages in 2015, Haskell continues to quietly demonstrate how radical ideas like infinite data structures, tail recursion, ...