Curious about what DataOps capabilities your organization already has or how you stack up? DataKitchen published a white paper Launch Your DataOps Journey with the DataOps Maturity Model (which you can download here) to guide you on benchmarking your org's DataOps...
Cynozure’s James Lupton joins us to discuss how DataOps is a critical element of any data strategy, especially if your goal is to deliver high-quality data products at pace.
So you've learned about DataOps and want to get begin implementing it? Look no further than DataKitchen's white paper The Seven Steps to Implement DataOps (which you can download here)! We've taken the seven steps to implement DataOps and included them in the...
In Forrester’s recent report, DataOps for the Intelligent Edge of Business, Michele Goetz, et al., describe how data teams are facing challenges “about data to support the return on investment and experience.” In fact, “no amount of investment in new big data systems,...
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...
Leading a DataOps Cultural Revolution Eckerson Group Best Practices in DataOps: How to Create Robust, Automated Data Pipelines DataOps promises to take the pain out of managing data for reporting and analytics. In most companies, data travels a tortuous route from...
London, UK - December 3, 2020. DataKitchen is pleased to announce that it has been awarded Best DataOps Solution Provider from the prestigious Data Management Insight Awards (DMI), 2020. This award recognizes DataKitchen’s contribution to DataOps, specifically as the...
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,...
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.