Blog
Announcing Open Source DataOps Data Quality TestGen 3.0
Now With Actionable, Automatic, Data Quality Dashboards. Learn about DataOps Data Quality TestGen 3.0.
No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically
The reality is that 80% of data quality tests can be generated automatically, eliminating the need for tedious manual coding. Learn how to do it today.
Why Are There So Many *Ops Terms?
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...
Add DataOps Tests to Deploy with Confidence
DataOps is the art and science of automating the end-to-end life cycle of data-analytics to improve agility, productivity and reduce errors to virtually zero. The foundation of DataOps is orchestrating three pipelines: data operations, analytics development/deployment...
Writing DataOps Tests with the DataKitchen Platform
Tests identify data and code errors in the analytics pipelines. Automated orchestration of tests is especially important in heterogeneous technical environments with streaming data. The DataKitchen Platform makes it easy to write tests that check and filter data...
Streaming Analytics with DataOps
The technical architecture that powers steaming analytics enables terabytes of data to flow through the enterprise’s data pipelines. Real-time analytics require real-time updates to data. To that end, data must be continuously integrated, cleaned, preprocessed,...
Add DataOps Tests for Error-Free Analytics
How much of your time do you spend writing tests? In a DataOps enterprise, data professionals spend 20% of their time writing tests. This may seem like a lot, but if an organization is wasting time due to errors, every hour spent on tests saves many hours in lost...
Navigating a Recession with DataOps
The Corona COVID-19 virus has completely changed the landscape for business in 2020. Strategic plans that were approved a few short months ago are being scrapped. With a recession at hand, it’s time to hit the reset button on your plans. Business thought leaders were...
Promoting Reuse with Containers and the DataKitchen DataOps Platform
DataOps places great emphasis on productivity. Team velocity can improve significantly when the data organization uses tools and methods that promote component reuse. Architecting analytics as microservices is one way to stimulate code reuse. The challenge is that the...
A Note to Our Customers on Covid-19
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...
Where Can I Learn More About DataOps?
For more information on DataOps, checkout: The DataOps Manifesto DataOps Cookbook DataOps Videos DataOps News DataOps Blog DataOps SlideShare
Orchestrating StreamSets with the DataKitchen DataOps Platform
The cacophony of tools and mission-critical deliverables are the reason behind the high complexity of modern-day data organizations. Data groups include a wide range of roles and functions that are intricately woven together by their “Data”. Teams include data...
Do You Need DataOps? Take Our 1-Minute Survey
DataOps is a hot topic these days. It's not surprising given that DataOps holds true potential for enabling enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to slash cycle times...
Gartner: “Select a DataOps Platform for 2020”
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...
