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Data Platforms

Published INVISOM articles connected to data platforms.

4 articles

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Cloud and PlatformsFramework

Vendor-Neutral Technology Selection

Vendor neutrality does not mean avoiding vendors or running everything on two clouds. It means pricing the exit before you sign, and scoring it alongside features, cost and contract terms.

Sep 24, 2026 · 13 min read

Data ArchitectureTechnical Deep Dive

Databricks for Pipelines, ML and LLMs

Databricks' real strength is that pipelines, models, agents and their traces share one governance layer. The price is that its newest AI features are serverless, billed on separate lines and unevenly available by region. Adopt it workload by workload, not wholesale.

Sep 21, 2026 · 13 min read

Data ArchitectureComparison

Snowflake, Databricks and Data Marts

The table-format war between Snowflake and Databricks is effectively over. The contest has moved up the stack, to where your business definitions, security policies and AI features live. That is where the architecture decision now sits.

Sep 20, 2026 · 10 min read

Cloud and PlatformsExecutive Guide

Cloud Strategy for Data and AI

Most enterprises do not need to chase GPUs or the best model across clouds. They need to run AI where their governed data already lives, decide deliberately how much residency they will pay for, and keep the exit cheap.

Sep 2, 2026 · 12 min read