White Papers
DataOps Observability – Principles and Ideas White Paper
DataOps Observability – Technical Product Overview
2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps
2021 Data Engineering Survey Burned-Out Data Engineers are Calling for DataOps A recent survey of 600 data engineers conducted by data.world and DataKitchen reveals a workforce that feels taxed beyond reasonable expectations with calls for relief. In fact, 79% of data...
The Complete DataOps Buyer’s Guide
The Complete DataOps Buyer's Guide What capabilities do you need for DataOps success?Read this white paper to discover the six capabilities you need to lower errors, accelerate cycle times, and improve collaboration: Data Observability Meta-Orchestration Environment...
Build a Data Mesh Factory with DataOps
DataOps Enables Your Data MeshAlthough a Data Mesh enables innovation through decentralization, DataOps is the secret sauce that harmonizes your decentralized domain activities into a coherent end-to-end pipeline of workflows.Read this White Paper to learn: How...
A Guide to DataOps Tests
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...
Should You Build or Buy a DataOps Solution?
6 Steps to an Enterprise DataOps Transformation
Data Governance as Code
Your Cloud Migration is Actually an Agility Initiative
Launch Your DataOps Journey With the DataOps Maturity Model
