Luciano Resende's keynote at Apache big data conference

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IBM Spark Technology Center Apache Big Data NA 2016 Leveraging Open Source Analytics for making game changing decisions Luciano Resende IBM | Spark Technology Center

Transcript of Luciano Resende's keynote at Apache big data conference

Page 1: Luciano Resende's keynote at Apache big data conference

IBM Spark Technology Center

Apache Big Data NA 2016

Leveraging Open Source Analytics for making game changing decisions

Luciano Resende IBM | Spark Technology Center

Page 2: Luciano Resende's keynote at Apache big data conference

IBM Spark Technology Center 2

Apache Big Data Evolution

http://pepperdata.com/2014/06/the-10-hottest-words-at-hadoop-summit-2014/

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IBM Spark Technology Center 3

Apache Big Data Evolution

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IBM Spark Technology Center 4

Apache Big Data Evolution

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IBM Spark Technology Center 5

The Analytics

Operating System

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IBM Spark Technology Center

Enhanceit! Offerit!

Leverageit!

SparkTechnologyCenter@SF

ShippingwithBigInsights/

SparkasaService

Insideourproducts

At IBM, We Love Spark!

OpensourcedApache

SystemML

OpensourcedApacheQuarks

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IBM Spark Technology Center

IBM is Building on Apache Spark IBM Analytics

IBM Commerce

IBM Watson

IBM Research

IBM Cloud

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IBM Spark Technology Center 8

How our customers are leveraging

open source analytics

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IBM Spark Technology Center

The Weather Company Data volumes from weather are growing ! –  ~30 billion API requests per day

–  ~120 million active mobile users

-  #3 most active mobile user base

–  ~360 PB of traffic daily

–  Billions of events per day (~1.3 M per sec)

–  Keep data forever

The use case – Efficient batch + streaming analysis

– Self-service data science

– BI / Visualization tool support

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IBM Spark Technology Center

Healthcare Enterprise Health Care Data Lakes – Improve how health care is delivered

– Collect and combine data from dozens of sources

– Clinical, Operational, Financial

– Inside and outside your enterprise

Benefits – Better medical outcomes for patients

– Control cost and improve quality

SystemML on Spark – Predictive Risk Modeling

– Right patient intervention relating to adverse heath events

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IBM Spark Technology Center

Spark maps Customer Experience “journey”

The Challenge – Improve Customer satisfaction rates

– Multiple channels for customer iteractions

– Very large volumes of data

The need – Create a 360 degree view of a customer

– Stich all interactions across channels –

“Customer Experience Journey”

– Classify interaction sentiment and take necessary actions

PUB / SUB MQTT / WebSockets / Flume / Kafka

` ` `

Journey

Dashboards

Interaction & Journey Data

Voice & Text Data

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IBM Spark Technology Center

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