Leveraging the Cloud to Deliver Scalable Capabilities to Earth Science Community

Instrument technologies for making science observations have advanced considerably with datasets now in the petabyte range for Earth science. The scale and complexity of increasing science data, commonly referred to as "Big Data", posts challenges in many aspects for science data systems. For instance, today's image files managed by science data systems range from a few gigabytes to hundreds of gigabytes in size with new data arriving every day. Despite this ever-increasing amount of data, science data systems must make the data readily available in a timely manner for users to view and analyze. This talk describes these challenges and provides examples of how the NASA/JPL Earth Science Data Systems program is leveraging the cloud to deliver scalable capabilities to our science community.