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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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]
DataOps Consulting, Coaching, and Transformation
Commercial Data & Analytics Platform for Pharma
Data Production Teams
Data Science/AI
Data Engineering
Data Quality
Business Analytics
Data Products
Data Mesh
Data Contracts
ModelOps / MLOps
DataGovOps
Self-Service Operations
Data Quality Assessments
Data Quality Testing
Data Observability
Data Orchestration
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.
