The world of data management, with its rigid schemas, silos and manual processes, has historically been at odds with the fast, automated, highly-iterative world of DevOps. Building upon the success of DevOps, DataOps has emerged as an agile methodology to improve the speed and accuracy of analytics through new data management practices and processes, from data quality and integration, to model deployment and management. By leveraging automation, data democratization and greater collaboration amongst data scientists, engineers and other technologists, DataOps can help organizations improve the time-to-value of their data. Many insights-driven enterprises have already adopted agile approaches to data science, including Netflix, Facebook and GSK. Register for DataOps Boot Camp today to hear about the key supporting technologies, strategies, real-world success stories and how to get started on your DataOps journey.