Written by Kadri Umay, Principal Program Manager, Microsoft
This blog was co-authored by Emile Veliyev, Director, OSDU Delivery, EPAM.
The energy industry creates and consumes large amounts of highly complex data for key business decisions, like where to drill the next series of wells, how to optimize production, and where to lease the next big field. Despite good intentions, the industry is still plagued by large quantities of data that are inconsistent in location, quality, and format—much of which cannot reliably be found or used when needed. Even when the data is reliable, it can be locked into application-specific data stores that limit its use. The solution to this dilemma is multi-faceted and increasingly includes cloud technology, the OSDU™ Data Platform, modern applications, and data governance focused on people and their business processes.
Microsoft Energy Data Services is a data platform fully supported by Microsoft that enables efficient data management, standardization, liberation, and consumption in energy exploration. The solution is a hyperscale data ecosystem that leverages the capabilities of the OSDU Data Platform and Microsoft's secure and trustworthy cloud services with our partners’ extensive domain expertise.
Cloud and the OSDU Data Platform
Cloud-based computing is the future—scalable, reliable, secure storage and compute capabilities, all managed for you with many powerful add-on capabilities at your fingertips. For the energy industry, the Open Group® OSDU Data Platform is rapidly emerging as the standard—an open source, cloud-based data platform that unlocks data from applications and provides standard data schemas and access protocols, enabling both data governance and rapid innovation.
One of the things that EPAM discovered when delivering app developer boot camps and deploying the platform for ourselves and for clients is its high level of complexity. In those earlier days, platform deployment was a multi-step process, with each service being deployed and validated separately, taking up to a week. Before we could move on to solving business problems, a part of our work was to guide our clients through various technical deployment obstacles. In addition, it took another several days to ingest pre-formatted sample data in order to test the platform with real data. Not anymore.
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