What is DataOps?

DataOps: DevOps for Data Integration

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Modern data analytics comes with a plethora of challenges, some of the more concerning of which are:

  • Architectural complexity
  • Operational blindness
  • Frequent change (data drift)

As a result, unprepared companies stand to see poor productivity, lost opportunities and increased operational risk instead of the many benefits that a well-supported analytics initiative would otherwise bring.

Read this white paper to learn how a “DataOps” approach to analytics could keep your data flow pipeline functioning at max efficiency. Read on to uncover why StreamSets suggests that automation and monitoring is key to reducing manual labor and increasing speed to analytics delivery.

Vendor:
StreamSets
Posted:
02 May 2019
Published:
31 Dec 2018
Format:
PDF
Type:
White Paper
Language:
English
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