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DataOps

DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.

Here are 125 public repositories matching this topic...

flyte

Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.

  • Updated Feb 9, 2023
  • Python
argilla

Streaming reference architecture for ETL with Kafka and Kafka-Connect. You can find more on http://lenses.io on how we provide a unified solution to manage your connectors, most advanced SQL engine for Kafka and Kafka Streams, cluster monitoring and alerting, and more.

  • Updated Feb 10, 2023
  • Scala
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