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A Tool-Agnostic Approach to DataOps Using the DataKitchen Platform

A Tool-Agnostic Approach to DataOps Using the DataKitchen Platform

DataOps improves your ability to orchestrate your data pipelines, automate testing and monitoring, and speed new feature deployment. DataOps recognizes that, in any data project, many different tools play an important role as independent components of the data...

Predicting the Failure of Quantum Computing

Predicting the Failure of Quantum Computing

Quantum computing will fail before it succeeds. That’s not a criticism of quantum computing. It’s more a commentary on the difficulty of deploying solutions based on cutting-edge innovation. In 2020, the human species has extensive experience with new technologies. I...

For Data Team Success, What You Do is Less Important Than How You Do It

For Data Team Success, What You Do is Less Important Than How You Do It

In today’s on-demand economy, the ability to derive business value from data is the secret sauce that will separate the winners from the losers.  Data-driven decision making is now more critical than ever.  Analytics could mean the difference between finding the right...

4 Easy Ways to Start DataOps Today

4 Easy Ways to Start DataOps Today

The primary source of information about DataOps is from vendors (like DataKitchen) who sell enterprise software into the fast-growing DataOps market. There are over 70 vendors that would be happy to assist in your DataOps initiative. Here’s something you likely won’t...

Why Are There So Many *Ops Terms?

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

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

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

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

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

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

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

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...

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]

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Data Journey Manifesto
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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.