How did I get here?

Ericsson

IP@Service™

› 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

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

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

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

Real-time apache hadoop tools

Google moved from MapReduce to Dremel 2 years ago