Why Do DataOps If you are frustrated with your enterprise’s data analytics, you are not alone. VentureBeat reported that 87% of data science projects never make it into production. It’s no surprise then that, despite soaring investments in AI and data science, the...
As we wrote in our last blog, a pharmaceutical company faced numerous difficulties when implementing marketing automation for multiple global business units: Difficulties with database drift and database integration Lack of technical infrastructure to implement Agile...
The “Right to Repair” Data Architecture with DataOps We’ve been attending data conferences for over 20 years. It has been common to see presenters display a data architecture diagram like the (simplified) one below (figure 1). A data architecture diagram shows how raw...
Gartner Research Names DataKitchen “Cool Vendor” in Data Management for 2019 Gartner recently named DataKitchen a “Cool Vendor” in Data Management. Analyst Mark Beyer and others put together a list of the hottest new vendors that “offer data and analytics leaders ways...
The Best DataOps Articles of Q2 2019 Every quarter we sift through the media and analyst coverage of DataOps and create a list of the best articles for the most recent period. This quarter there was so much activity we couldn’t list it all. DataOps is fast becoming...
“We think DataKitchen has a compelling take on the requirements for becoming data-driven, especially as it is set up to address the cultural and process changes that come with transformational projects, and not just the tooling products or services. It is clearly...
New DataKitchen Case Study: Banking on Data to Win in Financial Services DataKitchen recently published a new banking case study. It talks about an innovative financial services company uses technology to outcompete traditional big banks and brokerage firms. With...
Without Finding You Real Bottleneck, Your Are Rearranging Deck Chairs on the Titanic! In a recent blog article, Eckerson Group reiterates a common refrain we at DataKitchen have heard for many years: ‘we just need better tools for my team members to do their job and...
The DataOps Manifesto Reaches 5,000 Signatories and Now Translated To 14 Languages Every day 10-20 people sign the DataOps Manifesto. In the little over two years since it was published, the DataOps Manifesto reached over 5,000 total signatures. As an interesting...
Gartner Recognizes DataOps and DataKitchen in latest ‘Hype Cycle’ Great to see @Gartner_inc including #DataOps ‘On The Rise’ in the latest Hype Cycle for Data Management. “Of particular interest, DataOps was added to this year’s Hype Cycle. An analog to DevOps,...
Announcing Open Source DataOps Data Quality TestGen 3.0
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
Data Observability
DataGovOps
Self-Service Operations
Hybrid Cloud Architectures
Cloud Architectures
Kubernetes Architectures
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.