Big Data LDN 2019 | Building Predictive Maintenance Solutions for High-speed Hitachi Trains in the UK | Dr. Agne Gvozdevaite
Big Data LDN 2019 | Building Predictive Maintenance Solutions for High-speed Hitachi Trains in the UK | Dr. Agne Gvozdevaite
There are numerous and varying definitions of DataOps, a new methodology which helps businesses effectively use their data to drive innovation and secure competitive advantage. However, no definition fails to mention the importance of metadata for the DataOps strategy - it is essential for data management, governance, and provenance. In the face of newfound necessities of edge computing, the Internet of Things (IoT), and statistical expressions of Artificial Intelligence (AI), there are shifts occurring in metadata management that require further attention. For this reason, in this session Dr. Agne Gvozdevaite will discuss the importance and best practice of DataOps metadata management for now and the future.
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.