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Big Data

STAC defines "big data" as a workload that is difficult or expensive to handle using traditional technologies, largely due to data scale or complexity. This definition is inherently contextual. A workload that one industry considers big data might be standard fare in another. But it provides a good basis for discussions around engineering challenges in financial institutions, new technologies to solve them, and benchmark standards to assess those technologies.

 

Big data is a big topic at STAC Summits, whether it's 

Those subjects are the domain of the STAC Big Data SIG. The 

White paper

Proposed benchmarks

Videos:

NY panel, other agendas

Vendors at every level of the solution stack are innovating to help firms overcome their big data challenges. Software vendors like MapR, Cloudera, IBM, storage vendors like DDN, NetApp,