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DataOps is a process-oriented methodology which data and analytics teams use to speed up and improve the quality of data analytics, through automation and otherwise. DataOps impacts the entire data lifecycle from preparation to reporting, and reflects the interconnection and interdependence of the data analytics (Data) and information technology operations (Ops) teams and activities.

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  • DataOps is a process-oriented methodology which data and analytics teams use to speed up and improve the quality of data analytics, through automation and otherwise. DataOps impacts the entire data lifecycle from preparation to reporting, and reflects the interconnection and interdependence of the data analytics (Data) and information technology operations (Ops) teams and activities.
  • DataOps is a process-oriented methodology which data and analytics teams use to speed up and improve the quality of data analytics, through automation and otherwise. DataOps impacts the entire data lifecycle from preparation to reporting, and reflects the interconnection and interdependence of the data analytics (Data) and information technology operations (Ops) teams and activities.
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  • DataOps
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