The DataOps Cookbook - 2nd Edition Learn how DataOps draws on lessons learned from the software and manufacturing industries to transform data chaos into one smooth, efficient process that delivers fast, error-free insight. Includes actual recipes too! Complete the...
In this webinar, we outline a concrete and actionable six-step program for bringing DataOps to your organization.
Data privacy experts Peter Lancos and Sonal Rattan of eXate, join Chris Bergh of DataKitchen to discuss the what, why, and how of DataSecOps.
DataOps thought leader, Lars Albertsson, shares his DataOps experience at Spotify, including what worked, what didn’t, and key lessons learned along the way.
As DataOps continues to gain exposure, people are encountering the term for the first time. Below is our list of the most common questions that we hear about DataOps. What is DataOps? DataOps is a collection of technical practices, workflows, cultural norms, and...
EM360 host Max Kurton interviews DataKitchen CEO Chris Bergh
ModelOps orchestrates your entire ML pipeline for seamless integration of all the heterogeneous data centers, tools, infrastructure, and workflows required for successful model development, deployment, and production.
Laura Madsen, Author of Disrupting Data Governance, joins us to discuss how DataGovOps can be used to create a data governance program for the modern organization that supports, rather than stifles, the usage of data
Cambridge, Mass. – October 26, 2020. DataKitchen, creators of the first end-to-end DataOps Software Platform, today announced the launch of a new advisory service focused on helping customers achieve an enterprise DataOps transformation. As DataOps has become more...
The Race For Data Quality in a Medallion Architecture
DataOps Observability: Monitor every Data Journey in an enterprise, from source to customer value, and find errors fast! [Open Source, Enterprise]
DataOps Data Quality TestGen: Simple, Fast Data Quality Test Generation and Execution. Trust, but verify your data! [Open Source, Enterprise]
DataOps Automation: Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change. [Enterprise]
DataOps Consulting, Coaching, and Transformation
Commercial Pharma Agile Data Warehouse
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 OperationsÂ
Hybrid Cloud Architectures
Cloud Architectures
Kubernetes Architectures
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.