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Agile data management has become a necessity for organizations that need to maximize the value of their data. The business is focused on outcomes but the bulk of the effort is built around data processing and delivery. Demand for data outstrips the capacity of IT organizations and data engineering teams to deliver. New data management practices that adapt the practices DevOps to support data operations (DataOps) are the key to agility in data management. The enabling technologies exist today and data management practices are moving quickly toward a future of DataOps. DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics.
In this latest Data Science Central webinar, you will learn:
How to identify the most impactful bottlenecks sitting in the way of streamlined data processing
How to evaluate multiple strategies for improving data processing outcomes and their relative impact
Where to prioritize people, process, and technology changes to maximize impact
How Bell revolutionized their data delivery framework by incorporating DataOps principles and technology
Johnathan Bald, Sr. Director of Sales - Hitachi Vantara
Jude Vanniasinghe, Sr. Manager of Business Intelligence - Bell
Mike Williams, Global Solution Lead, Analytics and IoT - Hitachi Vantara
Sean Welch, Host and Producer - Data Science Central
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