From Data Science to DataOps
An introduction into the means and importance of good data management for those who are serious about operationalizing data science
DataOps is the latest agile operations methodology you require if you are serious about operationalizing Data Science. It focuses on cultivating data management practices and processes that improve the speed and accuracy of analytics, including data access, quality control, automation, integration, and model deployment and management.
In this introductory AlphaZetta talk we will look into what defines DataOps and what sets it apart from traditional Data Governance and DevOps practices. We will also take a dive into its importance as analytics matures and the processes, methods and techniques this entails.
Speaker: Patrick Senti, https://www.linkedin.com/in/patricksenti/