Implementing DataOps requires a combination of new methods and automation that augment an enterprise’s existing toolchain. The fastest and most effective way to realize the benefits of DataOps is to adopt an off-the-shelf DataOps Platform. Some organizations try to...
A Guide to Ops Terms and Whether We Need Them It is challenging to coordinate a group of people working toward a shared goal. Work involving large teams and complex processes is even more complicated. Technology-driven companies face these challenges with the added...
On behalf of DataKitchen, we hope that you, your team, and families are staying safe during this difficult time. DataKitchen’s highest priority is the health and safety of our employees, customers, partners, and their families. Over the last few weeks, we have taken...
In Gartner's recent write up for technical professionals, "2020 Planning Guide for Data Management", they highlight 10 critical trends for 2020. The most exciting one for us at DataKitchen is #10, DataOps. We are most excited that Gartner is advocating the need for...
We speak to a lot of people about the ideas behind DataOps. Sometimes, the shortest phrase captures the idea the best. The dictionary defines an 'Aphorism; as aph·o·rism /ˈafəˌrizəm/ (noun):a pithy observation that contains a general truth. So we collected many of...
Everyone has heard by now that there is an issue with counting the ballots in the Iowa Democratic presidential caucuses. It's all over the news. What we just learned is that the reporting system, not the app they created, is the source of the errors. I know we have...
At DataKitchen, we are believers in delivering value. We work with our customers to find a first project that can drive real benefits and meet their critical business needs. Customers use our DataKitchen technology and their experience to address a focused business...
A summary of Gartner’s recent DataOps report and recommendations on further reading: Gartner Research “Introducing DataOps Into Your Data Management Discipline” Published: 31 October 2019 ID: G00376495 Analyst(s): Ted Friedman, Nick Heudecker Summary “To relieve...
“[DataKitchen CEO] Chris [Bergh] had a huge impact on the development of "The Unicorn Project", and helped me see the parallel universe of DataOps.” -Gene Kim, Author of "The Unicorn Project™" Almost everyone in the software development world has read a...
Gartner Research Names DataKitchen “Cool Vendor” in Data Management for 2019 Gartner recently named DataKitchen a “Cool Vendor” in Data Management. Analyst Mark Beyer and others put together a list of the hottest new vendors that “offer data and analytics leaders ways...
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 Data & Analytics Platform for Pharma
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
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.