Applying Data to DevOps: A Comprehensive Guide to DataOps

Presented by

Helen Beal - DevOps Institute | Joe Foley - | Pierre DeBois - Zimana | Kevin Petrie - Eckerson

About this talk

The IDC estimates that the amount of digital data created over the next five years will be greater than twice the amount of data created since the advent of digital storage. It’s therefore no surprise that it’s a pressing need for organizations to become more data-driven and to be able to quickly process deluges of data to quickly derive actionable insights. It’s becoming increasingly apparent that this requires an agile data management approach that makes the most of both technology and humans. Still a relatively new term, this is termed DataOps. DataOps seeks to expand the virtues of DevOps, and advocates for clear communication and collaboration across all data stakeholders to eliminate the inefficiencies of traditional data integration, and drive efficiency. In this episode, Helen Beal and guests will be discussing how DataOps can eliminate silos and foster a Data Culture throughout your organization. Join them to hear them share ideas that will help you understand and overcome the challenges around data in the DevOps space. They’ll be discussing: - Why DataOps isn’t just DevOps for Data - How DataOps reduces complexity for organizations and shouldn’t be viewed as ‘just another thing for data professionals to worry about’ - What the importance of individuals and interactions, as well as tools and processes, are in DataOps - How to demonstrate value early and encourage executive buy-in - And more
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