Webinar: The FITT Way To Data Products: A New Data Architecture For A Product-Centric World

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.

Transform Your Data Engineer Team from Firefighters to Data Product Builders

Shift your data-architecture-focused thinking to a data-engineering-productivity-focused design. FITT democratizes system ownership, enables junior developers to contribute confidently, and allows senior engineers to concentrate on high-value business logic rather than troubleshooting mysterious failures. Learn why data product teams report their systems becoming “too quiet” (and their customers too happy!)—and why that’s exactly what sustainable, scalable data product development looks like.

Stop Fighting Your Data Architecture and Start Building Products That Scale

Are you tired of 3 AM alerts because your medallion architecture’s bronze data doesn’t match the gold layer? Fed up with spending entire weekends debugging why your pipeline worked yesterday but mysteriously fails today? 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.

Master the FITT Principles That Make Data Engineering “Boring” in the Best Way

You’ll learn how to implement functional transformations that produce consistent results every time, build idempotent pipelines where recovery is simple (“Pipeline broke? Just re-run it”), develop comprehensive testing frameworks that identify issues during development instead of in production, and design straightforward two-stage architectures that remove unnecessary complexity from bronze-silver-gold layers.

Get Practical Implementation Techniques That Work in Your Current Stack

Beyond theory, you’ll learn specific SQL and ELT strategies, including Functional-Idempotent (FI) chunks that work with modern tools like dbt, Snowflake, and BigQuery. Understand the “complete rebuild from raw” pattern, master parameterization techniques for real environment parity, and apply improved Write-Audit-Publish patterns that ensure reliable data quality without extra operational effort

Watch Now!  https://info.datakitchen.io/webinar-2025-10-video-form-the-fitt-way-to-data-products-a-new-data-architecture

Sign-Up for our Newsletter

Get the latest straight into your inbox

DataOps Data Quality TestGen:

Simple, Fast, Generative Data Quality Testing, Execution, and Scoring.

[Open Source, Enterprise]

DataOps Observability:

Monitor every data pipeline, from source to customer value, & find problems fast

[Open Source, Enterprise]

DataOps Automation:

Orchestrate and automate your data toolchain with few errors and a high rate of change.

[Enterprise]

recipes for dataops success

DataKitchen Consulting Services


DataOps Assessments

Identify obstacles to remove and opportunities to grow

DataOps Consulting, Coaching, and Transformation

Deliver faster and eliminate errors

DataOps Training

Educate, align, and mobilize

Commercial Data & Analytics Platform for Pharma

Get trusted data and fast changes to create a single source of truth

 

dataops-cookbook-download

DataOps Learning and Background Resources


DataOps Journey FAQ
DataOps Observability basics
Data Journey Manifesto
Why it matters!
DataOps FAQ
All the basics of DataOps
DataOps 101 Training
Get certified in DataOps
Maturity Model Assessment
Assess your DataOps Readiness
DataOps Manifesto
Thirty thousand signatures can't be wrong!

 

DataKitchen Basics


About DataKitchen

All the basics on DataKitchen

DataKitchen Team

Who we are; Why we are the DataOps experts

Careers

Come join us!

Contact

How to connect with DataKitchen

 

DataKitchen News


Newsroom

Hear the latest from DataKitchen

Events

See DataKitchen live!

Partners

See how partners are using our Products

 

Monitor every Data Journey in an enterprise, from source to customer value, in development and production.

Simple, Fast Data Quality Test Generation and Execution. Your Data Journey starts with verifying that you can trust your data.

Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change.