DataOps Done Right: How to Optimize DataOps for the Cloud

Presented by

George Demarest, Senior Director of Product Marketing, Unravel; Wayne W. Eckerson; Eckerson Group

About this talk

Modern applications are powered by data that must first run through a gamut of software, systems, and technologies before being consumed by business users. DataOps represents an emerging discipline for designing, managing, and monitoring the flow of data from source to target. DataOps provides a level of rigor required to manage dozens or hundreds of data pipelines that potentially serve mission-critical applications with stringent service level agreements. Today, companies want to run some or all of their data pipelines in the cloud or spanning cloud and non-cloud platforms. But how does that work in theory and in practice? How does a DataOps team manage the processes, technologies, and data when pipelines cross multiple environments? What does a DataOps for the cloud look like? This webcast will define DataOps, explore best practices, and discuss how DataOps can build and manage data pipelines in the cloud.

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At Unravel, we see an urgent need to help every business understand and optimize the performance of their applications, while managing data operations with greater insight, intelligence, and automation. For these businesses, Unravel is the AI-powered data operations company. We offer novel solutions that leverage AI, machine learning, and advanced analytics to help you fully operationalize the way you drive predictable performance in your modern data applications and pipelines.