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    DataOps Resources

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    All
    188
    News
    34
    Whitepaper
    1
    Webinar
    17
    Case study
    4
      Posted Apr 15, 2026 By Keith Belanger
      Recent content

      Beyond Snowflake DCM: What Enterprise DataOps Really Requires

      Snowflake continues to evolve at an impressive pace, and the introduction of Database Change Management (DCM) Projects is a meaningful step...

      Snowflake
      DataOps
      Blog header logo graphic
      7 min read
      Hero image with the headline “Beyond Snowflake DCM: What Enterprise DataOps Really Requires,” a “From DCM to DataOps” label, and Datops.live logo on a dark background with abstract curved line graphics.

      The Cost of “Good Enough” Data: Why Skipping Critical Steps Breaks at Scale

      By Keith Belanger
      A dark-themed presentation slide with large white text reading, “The Cost of ‘Good Enough’ Data: Why Skipping Critical Steps Breaks at Scale.” Below it, a purple banner says “Operationalize Snowflake Intelligence.” The background features abstract curved line graphics, and the Datops.live logo appears in the bottom right corner.

      CI/CD for Snowflake Dynamic Tables: What Breaks Without It

      By Keith Belanger
      Dark-themed promotional graphic with large text reading “CI/CD for Snowflake Dynamic Tables: What Breaks Without It.” A highlighted subheading says “Eliminate drift. Stabilize your data.” Abstract curved line patterns form the background, and the Datops.live logo appears in the bottom right.

      Snowflake Intelligence Has a Superpower; Almost Nobody Is Using It.

      By Guy Adams - CTO, DataOps.live

      DataGovOps – The Unsung Hero in Achieving AI-Ready Data

      By Guy Adams - CTO, DataOps.live

      A Hidden Risk in Snowflake: Why AI-Ready Data Needs Automated CI/CD?

      By Keith Belanger
      Dark-themed graphic with large headline text reading “A Hidden Risk in Snowflake: Why AI-Ready Data Needs Automated CI/CD?” A purple banner below asks “Is your data AI ready?” Abstract curved line patterns appear in the background, and the Datops.live logo is displayed in the bottom right.
      Topics
      Data Science Data Governance Data Application DataOps.live Assist Snowflake Announcement
      Snowflake
      Promotional graphic from DataOps.live for an on-demand session titled “Snowflake Masterclass: Native CI/CD Without Custom Development.” The design features a dark blue abstract background with two speaker headshots: Keith Belanger, Field CTO (left), and Chris Atkinson, Principal, Data Cloud Architecture (right). The DataOps.live logo appears at the top, with a Snowflake icon near the bottom center.
      Mar 16, 2026

      Snowflake Masterclass: Native CI/CD Without Custom Development (On-Demand)

      Watch as Snowflake and DataOps.live demo native CI/CD pipelines for Snowflake. Learn how to deploy faster with audit,...

      Posted by DataOps.live
      2 min read
      AI
      Mar 11, 2026

      In Search Of AI-Ready Data: Part 1

      AI project success relies on high-quality, AI-ready data and robust data processes, yet many are failing to get to...

      Posted by Guy Adams - CTO, DataOps.live
      1 min read
      AI
      Feb 16, 2026

      Delivering Regulated AI at Scale for Pharmaceutical Companies

      Get this in-depth guide on how pharmaceutical orgs like AstraZeneca have overcome AI delivery bottlenecks to accelerate...

      Posted by DataOps.live
      3 min read
      News
      Feb 11, 2026

      Five Tips to Operationalize AI-ready data with DataOps Automation

      AI success depends on DataOps automation to deliver truly AI-ready data

      Posted by News from DataOps.live
      1 min read
      Cortex
      Feb 09, 2026

      Snowflake Cortex Code and DataOps.live Metis fixed my pipeline – but this isn’t what surprised me

      See the magic that happened when Snowflake's CoCo agent (Cortex Code) and DataOps.live Metis worked together to fix a...

      Posted by Guy Adams - CTO, DataOps.live
      6 min read
      DataOps
      Table showing responsibilities across stages of data product pipeline troubleshooting. Actions include error analysis, selecting solutions, implementing fixes, creating sandbox environments, running and monitoring pipelines, and creating merge requests. Columns compare roles “Before,” “Cortex Code (CoCo),” and “CoCo + Metis,” showing Metis taking over many execution and monitoring tasks while CoCo supports analysis and fixes.
      Feb 09, 2026

      How Cortex Code and DataOps Automation Work Together to Deliver Trusted Data

      How Snowflake Cortex Code and DataOps automation work together to speed development while ensuring trusted, governed...

      Posted by Keith Belanger
      4 min read
      AI
      Feb 05, 2026

      Five Reasons Why DataOps Automation Is Now an Essential Discipline

      DataOps automation is now crucial for trusted, fast, and scalable data delivery

      Posted by News from DataOps.live
      1 min read
      Data Products
      Image titled “Spec-driven development” showing a blue circle labeled “Why + What + How,” with DataOps.live branding.
      Jan 12, 2026

      Spec-Driven Development for Data and Data Products

      AI won’t break your data. Rapid change will break its meaning. Spec-driven development keeps data products coherent as...

      Posted by Guy Adams - CTO, DataOps.live
      11 min read
      Orchestration
      Dec 12, 2025

      Delivering on AI’s Promise: Why Data Observability Will Be Key in 2026

      AI’s future depends on data observability, quality, and governance.

      Posted by News from DataOps.live
      1 min read