Are you regularly testing your data and code?

Some people write a few unit tests and proudly call it “DataOps.” That is a move in the right direction, but organizations should be implementing a breadth of tests at every step in their data pipelines.

Read the Guide to DataOps Tests to understand:

  • The different types of tests you need to build trust in the quality of your analytics; and
  • How to achieve true data observability.

Read the Guide

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.

dataops-cookbook-download
recipes for dataops success

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

 

DataKitchen DataOps Consulting Services


Product Implementation

We help you succeed with DataKitchen's products.

Commercial Pharma Data Engineering

We build, operate, train, and transfer data products.

DataOps Transformation Advisory

We help you bring DataOps to your organization.

Customer Data Platform Engineering

We build an open CDP, then transfer it to you.