The data leveraged here facilitate a more technology-rich and temporally consistent approach than was available previously. Since 2011, analysts at Cisco have published data and outlooks for worldwide server stocks, data center workloads, server virtualization levels, and storage estimates for traditional, cloud, and, most recently, hyperscale data centers (1). In a series of reports starting in 2016, Lawrence Berkeley National Laboratory has published energy trend analyses of servers, storage devices, and network devices commonly used within data centers (8, 11, 13). Analysts have documented the numbers and locations of hyperscale data centers that represent a substantial fraction of global data center compute instances, and major data center operators are increasingly reporting their PUE

Firehose (https://con-fluence.broadinstitute.org/display/GDAC/Home)

TheCancer Genome Atlas’ (TCGA)