Visualizing Data Timeliness at Airbnb
Imagine you are a business leader ready to start your day, but you wake up to find that your daily business report is empty — the data is late, so now you are blind. Over the last year, multiple teams came together to build SLA Tracker, a visual analytics tool to facilitate a culture of data timeliness at Airbnb. This data product enabled us to address and systematize the following challenges of d
The DataOps Manifesto - Read The 18 DataOps Principles
Through firsthand experience working with data across organizations, tools, and industries we have uncovered a better way to develop and deliver analytics that we call DataOps. Whether referred to as data science, data engineering, data management, big data, business intelligence, or the like, through our work we have come to value in analytics: Individuals and interactions over processes and tool
DataOps Is Here To Stay
Photo by Stephen Dawson on UnsplashWhat Is DataOps?DataOps is a discipline that has become a necessity in a market where the demand for access to data assets and data products is skyrocketing. The inability of data platform teams and data management platforms to keep pace with the demands placed on them by DevOps-enabled teams led to the development of DataOps.[i] In a nutshell, DataOps brings tog
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The DataOps Manifesto
A practical guide to get started with DataOps
Data Management Challenges in Production Machine Learning
DEEM: Workshop on Data Management for End-to-End Machine Learning @ SIGMOD'18
