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Learn how to implement Data Mesh for a more decentralized approach to data management in today's dynamic business environment.
This blog is written to be accessible for both seasoned data professionals and non-technical folk looking for inspiration on how to turn their data into something more useful (the right way). But if you’re the latter, perhaps skip the intro—we’re nerding out a bit. Having worked in the data world for some time now, I’ve…
Summary Creating a truly valuable data product goes far beyond dashboards—it requires treating it like a startup. Start by understanding the user’s problem, then centralize fragmented data sources onto scalable platforms (like Snowflake or Databricks). Ensure trust through strong data quality, governance, and integrity checks. Design with empathy—embed analytics into familiar workflows to drive adoption.…
Summary Organizations pursuing cloud-first digital transformation face a maze of fragmented tools, rising complexity across DevOps/DataOps, and outweighing demands to deliver integrated data and software products. This blog explains that combining automated data fabric architecture with self-service development platforms—integrating orchestration, governance, and tooling via a unified interface—delivers that clarity and velocity. A use case (Tasty…
It’s 20 degrees Celsius (or 68 degrees Fahrenheit) sunshine, but people wearing winter beanies? It must be time for the Snowflake Summit again! One of the things I love most about the Snowflake Summit is seeing the entire data ecosystem represented under one roof. It’s especially thrilling to see breakthrough technology start-ups leading the charge…
Summary The “Race of the Builders” event showcased how enterprises are accelerating digital transformation by combining automation, self-service tools, and federated governance—highlighting the power of internal developer portals (IDPs) to streamline workflows and improve developer experience, with Gartner projecting a jump from 45% to 75% adoption by 2026. Companies are still early in their transformation…
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