Many adages could be applied to implementing a successful, sustainable DataOps program at your organization, such as 'Rome wasn't built in a day.' or, "Don't boil the ocean." To help you approach introducing DataOps into your organization, we at DataKitchen broke down...
DataOps revolutionizes how data-analytics work gets done. Like many other “big ideas,” it sometimes faces resistance from within the organization. For most organizations, data is a means to an end. The organization’s primary focus is on its mission, whether that is a...
Since the term was coined, DataOps has expanded the way that people think about data analytics teams and their potential. 2020 was a huge year in DataOps industry acceptance. Media mentions of DataOps are on track to increase 52% over the prior year. To date in 2020,...
So you’ve got a special data nerd in your life - congrats! They’re great to keep around for mental math, household finances, and lots of Star Trek jokes. We’re kidding - the data nerd is not a monolith. They come in all shapes, sizes, and nerd varieties. We’ve got...
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...
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...
Rajesh Gill, Associate Director of Commercial Insights, discusses how Celgene used DataOps to build a huge success with the Otezla brand.
Without DataOps, a Bad System Overwhelms Good People When enterprises invite us in to talk to them about DataOps, we generally encounter dedicated and competent people struggling with conflicting goals/priorities, weak process design, insufficient resources, clashing...
One of the main goals of analytics is to improve decision-making. The CDO DataOps Dashboard puts information at the fingertips of executives, so they have a complete picture of what is happening in the data analytics domain.
A summary and recommendations for further reading
Announcing Open Source DataOps Data Quality TestGen 3.0
DataOps Data Quality TestGen:
Simple, Fast, Generative Data Quality Testing, Execution, and Scoring.
[Open Source, Enterprise]
DataOps Observability:
Monitor every date pipeline, from source to customer value, & find problems fast
[Open Source, Enterprise]
DataOps Automation:
Orchestrate and automate your data toolchain 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.