Blog
How I Broke Our SLA and Delighted Our Customer
Failing the SLA was the price we paid for trust. And it was worth every second.
Is Your Team in Denial about Data Quality? Here’s How to Tell
Data quality problems are ignored, rationalized, or swept aside. How do you tell if your team is in denial about data quality? Uncle Chip has provided a bingo card … play with your data team!
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...
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
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
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
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
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...
A Guide to Understanding DataOps Solutions
Breaking Through the Noise A Guide to Understanding DataOps Solutions DataOps is the hot topic on every data professional’s lips these days, and we expect to hear much more about DataOps in 2020. This is not surprising given that DataOps holds true potential for...
What a DataOps Platform Can Do For You
Leading software companies perform millions of code releases per year. Typical data-analytics organizations perform less than 10. This gap explains why most data-analytics projects fail to deliver. Without the capability to move at lightning speed, data analytics...
DataOps Soars in 2019
As recently as eighteen months ago, we would mention “DataOps” and get blank stares. As recently as eighteen months ago, we would mention “DataOps” and get blank stares. Today, analyst firms Gartner, Eckerson, 451, and Forrester publish extensively on DataOps and...
