Blog
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.
Summary of the Gartner Presentation: “How Can You Leverage Technologies to Solve Data Quality Challenges?”
Summary of the Melody Chien from Gartner Presentation: “How Can You Leverage Technologies to Solve Data Quality Challenges?”
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...
How to Get Started with DataOps
At DataKitchen, we are believers in delivering value. We work with our customers to find a first project that can drive real benefits and meet their critical business needs. Customers use our DataKitchen technology and their experience to address a focused business...
2019 DataOps Survey .. Errors and Slow Innovation Abound
Survey Finds Majority of Businesses in the U.S. and Europe are Taking Months to Deploy New Analytics; Data Plagued with Errors Upon Delivery to Customers “CAMBRIDGE, Mass.–(BUSINESS WIRE)–“DataKitchen, Inc, the first and leading DataOps platform that manages analytics...
A summary of Gartner’s Recent DataOps Report and recommendations
A summary of Gartner’s recent DataOps report and recommendations on further reading: Gartner Research “Introducing DataOps Into Your Data Management Discipline” Published: 31 October 2019 ID: G00376495 Analyst(s): Ted Friedman, Nick Heudecker Summary “To relieve...
“The Unicorn Project” Review & DataOps Excerpt
“[DataKitchen CEO] Chris [Bergh] had a huge impact on the development of "The Unicorn Project", and helped me see the parallel universe of DataOps.” -Gene Kim, Author of "The Unicorn Project™" Almost everyone in the software development world has read a...
