• Corpus ID: 52164356

DataOps - Towards a Definition

@inproceedings{Ereth2018DataOpsT,
  title={DataOps - Towards a Definition},
  author={Julian Ereth},
  booktitle={LWDA},
  year={2018}
}
Organizations seek to streamline their data and analytics structures in order to meet increasingly demanding business requirements. This can be difficult due to complex and fast-moving data landscapes. DataOps promises a remedy by combining an integrated and process-oriented perspective on data with automation and methods from agile software engineering, like DevOps, to improve quality, speed, and collaboration and promote a culture of continuous improvement. The goal of this on-going research… 

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