This webinar unveils the battle-tested FITT (Functional, Idempotent, Tested, Two-stage) data architecture that eliminates endemic burnout, constant firefighting, and hero-driven development that keeps engineers trapped in operational chaos.
DataOps Data Quality TestGen Expands: Now Supporting BigQuery and Apache Iceberg
DataOps TestGen Enterprise is now compatible with Google BigQuery and can be used to profile and test file-based data accessible through Redshift Spectrum and Snowflake external tables using Apache Iceberg and other file formats.
Process Guardianship: The Most Valuable Data Engineering Work You’re Probably Not Doing
When people think of data engineers, the description usually stops at “building high-quality pipelines that deliver analyst-ready data.” That is true, but incomplete. In modern organizations, data engineers hold a deeper responsibility. They are not just the builders of pipelines—they are the curators of the business logic itself.
Flip the Script on Data Quality: Shift Left, Shift Down, and Take Control
The manufacturing industry learned decades ago that catching defects early in the production process saves exponentially more money than fixing them after products ship. Today’s data engineering teams face a strikingly similar challenge.
FITT vs. Fragile: SQL & Orchestration Techniques For FITT Data Architectures
Transform data engineering from a high-stress, “hero saves the day” kind of job into something systematic and predictable that actually scales as your team and business grow. Stop babysitting pipelines: SQL & ELT the FITT Way.
Data Quality Test Coverage In a Medallion Data Architecture
For data engineering teams serious about delivering production-grade data products, implementing systematic test coverage across their Medallion architecture represents not only a technical improvement but a fundamental shift toward sustainable and trustworthy data operations.
Critical Data Elements: Your Shortcut to Data Governance That Actually Works
💥 80% of data governance initiatives fail. Not because of tools. Not because of frameworks. But because the business isn’t involved, and no one agrees on what data truly matters. That’s where Critical Data Elements (CDEs) change everything.
We’ve Been Using FITT Data Architecture For Many Years, And Honestly, We Can Never Go Back
Most data architectures are designed to maximize data vendor revenues, not data team productivity. Let us show you how a Functional, Idempotent, Tested, Two-Stage (FITT) data architecture can deliver better productivity, reliability, and happiness.
Webinar: Test Coverage: The Software Development Idea That Supercharges Data Quality & Data Engineering
In an exciting webinar, we talk about the importance of having test coverage across all your tables and tools
Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers
Let us show you how to implement full-coverage automatic data checks on every table, column, tool, and step in your delivery process. And how you can create 1000s of tests in a minute using open source tools.
