Christopher Bergh

3 Abonné

DataKitchen enables Analytic Teams to deliver value quickly, with high quality, using the tools that they love (and already own!). Too often, Analytic teams are forced to choose between delivering fast (and fragile) or slow (and solid). DataKitchen software enables Data Engineers, Data Analysts, and Data Scientists to produce insights both quickly and with high quality. This is achieved through process and a technical environment. We call this approach DataOps. Some call this approach AnalyticOps or DevOps for Data or Agile Analytic Operations

devops big data analytics data mining dataops data agile

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Christopher Bergh

Présentations

Bdf16 big-data-warehouse-case-study-data kitchen

ODSC data science to DataOps

J’aime

DataOps: Nine steps to transform your data science impact Strata London May 18

Version Control in Machine Learning + AI (Stanford)

Strata parallel m-ml-ops_sept_2017

Kelly O'Briant - DataOps in the Cloud: How To Supercharge Data Science with a Hint of DevOps

DataOps: An Agile Method for Data-Driven Organizations

Strata+hadoop data kitchen-seven-steps-to-high-velocity-data-analytics-with dataops

Building Data Science Teams

Open Data Science Conference Big Data Infrastructure – Introduction to Hadoop with Map Reduce, Pig, and Hive

Agile Data Strategy and Lean Execution

Open Data Science Conference Agile Data

Agile Data