On the Edge: Analytics for the Modern Enterprise
[these are the analyst comments on enterprise data architecture and streaming]
Webcast description: The speed of business today requires new approaches to generating and leveraging analytics. Latencies of a day, an hour or even minutes no longer suffice in many situations. For these use cases, organizations must embrace analytics at the edge: a process that involves targeted number-crunching at the fringe of the enterprise. When designed properly, these systems give companies a leg up on their competitors. Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain how a new era of information architectures is now unfolding, paving the way to much more responsive and agile business models. He'll be briefed by Kim Macpherson of the Cisco Data and Analytics Business Unit, who will explain how her company's platform is uniquely suited for this new, federated analytic paradigm. She'll demonstrate how edge analytics can help companies address opportunities quickly and effectively.
17. Copyright Third Nature, Inc.
Flowing Persisted
Sliding window
of “now”
Persisted but not yet
loaded into a platform
Queryable history
Managed history
Streaming isn’t either‐or, it’s part of IT architecture
A DB can get you to within
minutes (at large scale) but it
won’t be easy or cheap, mainly
lives in the realm of history
Event streams, in-mem
stores, CEP streaming
SQL can be used for these
Real time monitoring doesn’t use only real time data: windows, restarts,
detecting deviation, so the above boundaries are crossed.
ESB Cache/Queue Database / platform