Real time big data neworking
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Transcript of Real time big data neworking
![Page 1: Real time big data neworking](https://reader033.fdocuments.us/reader033/viewer/2022052904/557cf404d8b42a57118b4796/html5/thumbnails/1.jpg)
How did I get here?
Ericsson
IP@Service™
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› Top Down is– Periodic– Repetitive– Reflective – Backwards Looking /
Prior Results Oriented
› Bottom Up is– Real Time– Predictive– Actionable– Exploratory
What if / Scenario Capable
big data analytics is more than just business intelligence
This top-down and bottom-up interactive investigation leverages new data, creating new knowledge, leading to new business scenarios / opportunities
Turning available information on all aspects of the Operationsinto a real-time Business Advantage
– Interactive– Experimental
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Big data networking
“(Yet another) Big Data definition: when the data volume become so big that it can no longer be economically back-hauled to one centralized database”
Networking
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Platform: interactive & Real time• Interactive analysis
– Generate cube/models using customizable logic– Process, store & correlate huge amount of data– Horizontally scalable & batch oriented
• Real time analysis– Independent & simpler processing of events– Analysis produce real time actionable
events/results– Vertically scalable & quick response
Timely & Actionable Analytics
Automated Actions
Data at Rest• Pricing guides• Product catalogs• Customer CRM• Asset & inventory• Employee data
Data in Motion
› Platform provides two core engines for such needs
– Stream Engine processes data in small batches
– Real time engine processes events in real time
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Network
Cloud
Storage
Processing
Apps
MapR/Batch MapR2.0/Interactive
Real time/streaming
SDN NFV
Public Hybrid Private
HDFS/DAS NAS“Software Def. Storage”
A long term reference model
DBMS/Interactive
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Real-time apache hadoop tools
Google moved from MapReduce to Dremel 2 years ago