The term DataOps is becoming increasingly critical to assist analytic and data teams in improving quality and reducing the cycle time of data analytics, therefore, strong data pipelines are essential. However, before that dream can be achieved, it is crucial to understand the what, why, and how of DataOps.
In this podcast, Chris Bergh, Founder and CEO of DataKitchen, begins by introducing DataOps and the important distinctions from DevOps. He also explains how businesses should build a DataOps team and what kind of principles DataOps leadership should be spearheading. Finally, Chris explains the preparation needed from a cultural change perspective and also offers insight into why businesses might not have embraced it and why they should.
DataKitchen empowers data professionals from across the entire data analytics organization to reclaim control of complex toolchains, environments, and teams. Our end-to-end DataOps Platform automates and coordinates everything from orchestration, testing and monitoring to development and deployment. So finally teams can innovate, test, and deliver the kind of on-demand, error-free insight that leads to one successful business decision after another.
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