DBTB INT Konstantine Boudnik r
summary
Describes a memory‑computing‑in‑the‑cloud engine called Maam Core used across customer deployments and argues that the Apache big data stack plus open source tools let teams stop tuning infrastructure and focus on modeling. Recommends offloading Spark and cluster ops to platform layers, outlines practical integrations and workflow changes, cautions about statistical overclaiming and “lies, damned lies” from naive mining, and provides no hard numbers or benchmarked results—more product-positioning and operational advice than experimental proof.
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