Disruptive Technology: How Businesses Are Adapting to AI, Blockchain, and IoT
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.
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