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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
IBM Spark Technology Center 2
Apache Big Data Evolution
http://pepperdata.com/2014/06/the-10-hottest-words-at-hadoop-summit-2014/
IBM Spark Technology Center 3
Apache Big Data Evolution
IBM Spark Technology Center 4
Apache Big Data Evolution
IBM Spark Technology Center 5
The
Analytics
Operating System
IBM Spark Technology Center
Enhance	it!	 Offer	it!	
Leverage	it!	
Spark	Technology	
Center	@	SF	
Shipping	with	
BigInsights	/	
Spark	as	a	Service	
Inside	our	products		
At IBM, We Love Spark!
Open	sourced	
Apache	
SystemML	
Open	sourced	
Apache	Quarks
IBM Spark Technology Center
IBM is Building on Apache Spark
IBM Analytics
IBM Commerce
IBM Watson
IBM Research
IBM Cloud
Image source: http://zdnet2.cbsistatic.com/hub/i/r/2015/06/15/1a23c9cd-74bc-4c8b-9e83-da45e977d97d/thumbnail/770x578/4a70eb03e79c794393d1d7d26bb34687/ibm-apache-spark.gif
IBM Spark Technology Center 8
How our customers
are leveraging
open source analytics
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
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
10
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
IBM Spark Technology Center
12Image source: http://az616578.vo.msecnd.net/files/2016/03/21/6359412499310138501557867529_thank-you-1400x800-c-default.gif

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Luciano Resende's keynote at Apache big data conference

  • 1. IBM Spark Technology Center Apache Big Data NA 2016 Leveraging Open Source Analytics for making game changing decisions Luciano Resende IBM | Spark Technology Center
  • 2. IBM Spark Technology Center 2 Apache Big Data Evolution http://pepperdata.com/2014/06/the-10-hottest-words-at-hadoop-summit-2014/
  • 3. IBM Spark Technology Center 3 Apache Big Data Evolution
  • 4. IBM Spark Technology Center 4 Apache Big Data Evolution
  • 5. IBM Spark Technology Center 5 The Analytics Operating System
  • 6. IBM Spark Technology Center Enhance it! Offer it! Leverage it! Spark Technology Center @ SF Shipping with BigInsights / Spark as a Service Inside our products At IBM, We Love Spark! Open sourced Apache SystemML Open sourced Apache Quarks
  • 7. IBM Spark Technology Center IBM is Building on Apache Spark IBM Analytics IBM Commerce IBM Watson IBM Research IBM Cloud Image source: http://zdnet2.cbsistatic.com/hub/i/r/2015/06/15/1a23c9cd-74bc-4c8b-9e83-da45e977d97d/thumbnail/770x578/4a70eb03e79c794393d1d7d26bb34687/ibm-apache-spark.gif
  • 8. IBM Spark Technology Center 8 How our customers are leveraging open source analytics
  • 9. 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
  • 10. 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 10
  • 11. 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
  • 12. IBM Spark Technology Center 12Image source: http://az616578.vo.msecnd.net/files/2016/03/21/6359412499310138501557867529_thank-you-1400x800-c-default.gif