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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...

Where Can I Learn More About DataOps?

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

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

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”

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...

DataOps is Not Just a DAG for Data

DataOps is Not Just a DAG for Data

We often hear people say that DataOps is just automating the data pipeline — using orchestration to execute directed acyclic graphs (DAGs). Enterprises may already use orchestration tools (Airflow, Control-M, etc.) and mistakenly conclude that they have DataOps...

DataOps Aphorisms

DataOps Aphorisms

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...

Iowa Caucuses, do your DataOps

Iowa Caucuses, do your DataOps

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...

Reducing Organizational Complexity with DataOps

Reducing Organizational Complexity with DataOps

Organizational complexity creates significant problems, but executives in a McKinsey Survey showed little understanding of the types of complexity that create or destroy shareholder value. In their research, McKinsey identified two types of complexity: Institutional...

Failing Your Way to Success with DataOps

Failing Your Way to Success with DataOps

Have you ever failed at work? Most people have done something cringeworthy at some point. I have plenty of funny stories to tell. There’s the time I set off the fire alarm on my first day of a new management job. Perhaps even more notable are the epic fails. I once...

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]

recipes for dataops success

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DataOps Learning and Background Resources


DataOps Journey FAQ
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Data Journey Manifesto
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DataOps FAQ
All the basics of DataOps
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DataOps 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.