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:
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.
Data Production Teams
Data Science/AI
Data Engineering
Data Quality
Business Analytics
Data Products
Data Mesh
Data Contracts
ModelOps / MLOps
Data Observability
DataGovOps
Self-Service Operations
Hybrid Cloud Architectures
Cloud Architectures
Kubernetes Architectures
Commercial Pharma Data Engineering
DataOps Transformation Advisory
Customer Data Platform Engineering