Advancing Real-timeBIG DATA analytics solutions
ON the Intel® Xeon® processor E7 v4 familyCarmine Stragapede
D i r e t t o r e G e n e r a l e
I n t e l C o r p o r a t i o n I t a l i a S p A
@ C a r m i n e S t r a g a
The New center of possibility
A BIG DATA EXAMPLE
HANDLE 10 GB of raw data every 15 minutes
ANALYSE AND STREAM LIVE A DASHBOARD REPORT
INGEST 4MILLIONS OF DATA ROWS IN A SECOND
a n a l y t i c sI S U B I Q U I T O U S
M a r k e t i n g
S a l e s B a n k i n g
I n s u r a n c e
R e t a i l
E n e r g y
T e l e c o m
I o T
M a n u f a c t u r i n g
T r a n s p o r t
BIG DATA: Big Drivers for Big Profits
MONETIZATION:
COST CONTROL: HW/SW Platform, Usability & Learning Efforts
New Revenue Streams Generation & Loss Prevention
SOME BIG DATA SW PLATFORM WISHES
SINGLE DATA STORAGE POINT
DISTRIBUTED REAL TIME DATA COLLECTION
ENDLESS DATA ANALISYS, REPORTING AND visual rendering
MORE, BIG DATA SW PLATFORM WISHES
Online multiple domains data correlation
EXPLORATION OF HUGE DATA SETS
LIVE DASHBOARDS
Structured
Poly Structured / Unstructured
Batch
Real-Time
RDBMS, SQL
Scalable Streaming
Scalable No SQL
In-MemoryDescriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Cognitive Analytics
Machine Learning
HPC
Business Intelligence
Analytics approaches abound
Hadoop
Deep Learning
Libraries
Graph-DB
Visualization
IoT
analytics is creating advantage
Education technology provider TeacherMatch uses data analytics
to streamline teacher hiring by predicting the likely classroom
effectiveness and impact on student growth of prospective
teachers
Spain’s leading bank, CaixaBank, uses big data analytics to adapt
and improve communication with their customers and offer
products and services that better
meet customer needs
Apparel company Levi Strauss & Co.
uses analytics to improve the in-store experience by making sure customers and sales-people can
find the products they need, when they need them
Other names and brands may be claimed as the property of others
Companies that use data analytics are12X more l ikely to have
top-quart i le f inancial performance 5X more l ikely to make
decis ions faster than their competit ion
1. Source: Gartner, Survey Analysis: Practical Challenges Mount as Big Data Moves to Mainstream, September 2015
Expensive & slow to get actionable insights
Data is too hard to connect, secure & use
Complicated Analytics solution stacks
barriers to adoption
Reduce time & cost to get actionable insightsIntel offers a complete, cost-effective
technology portfolio to address diverse analytics needs.
Tackling barriers to adoption
Break down data siloes and obstacles
Create Easier-to-use Analytics solution stacksIntel is investing deeply in the software and
solutions ecosystem to make analytics easier for IT to deploy and use efficiently.
Intel is collaborating closely with industry leaders to break down data barriers and
expose the power of analytics
softwareoptimization
Intel capitalinvestments
Open Source Contributions
Improving usability
Open Network Insight
Other names and brands may be claimed as the property of others
Tackling analytics challenges:
Breaking down data barriers
Trust & Access ControlC r e a t i n g a s e c u r e ,
s h a r e d c l o u d a n a l y t i c s s y s t e m t o i m p r o v e c a n c e r d i a g n o s i s &
t r e a t m e n t
Multiple data SourcesC r e a t i n g a m u l t i - n o d e
c l o u d s y s t e m t o a n a l y z e d a t a a b o u t
s e p s i s r i s k f r o m m u l t i p l e s o u r c e s
Ease of deploymentU s i n g o p e n s o u r c e
s o l u t i o n s t o d e p l o y p o w e r f u l e l e c t r i c a l g r i d
a n a l y t i c s t o o l s m o r e r a p i d l y , t o m o r e u s e r s
PARTNERING TO CREATE MODELS FOR COMPLEX DATA CHALLENGES
Other names and brands may be claimed as the property of others
Tackling analytics challenges:
Scale OutLargest data sets
Hadoop, Spark, HPC, High-performance Data Analytics, Modeling & Simulation,Machine/Deep Learning
Intel® Xeon® Processor E5 Family
Intel® Xeon® Processor E7 Family
Intel® Xeon® Phi™ Products
Powering all analytics workloads
Scale UpLargest
in-memoryReal-Time Analytics
…plus FGPA for algorithm speed up for targeted analytics workloads
Tackling analytics challenges:
Scale-up: Real-time analytics is growing
A n a l y z i n g t r a n s a c t i o n s f o r r e a l - t i m e
f r a u d d e t e c t i o n
A n a l y z i n g & r e s p o n d i n g t o
e l e c t r i c a l u s a g e i n r e a l - t i m e
R e a l - t i m e m o n i t o r i n g o f
t r a f f i c f o r r o u t e o p t i m i z a t i o n
A n a l y z i n g n e t w o r k t r a f f i c i n r e a l t i m e t o p r o v i d e o p t i m a l q u a l i t y o f s e r v i c e
banking Electric grid transportation telecom
As a leading Italian rail transport operator, Trenitalia carries 2 million long distance and commuter passengers a day – and unexpected maintenance not only costs money, but can cause frustrating delays for passengers.
Trenitalia implemented a condition-based maintenance (CBM) strategy powered by SAP HANA + the Intel® Xeon® processor E7 family, analyzing data coming from thousands of on-board sensors in real-time.
The solution helped Trenitalia reduce maintenance costs by an estimated 8-10%, improve processes and offer a better customer experience.
Other names and brands may be claimed as the property of others
Goal:
Solution:
Impact:
“ With real-time insights into what’s happening on our rail lines, we’re able to save up to 130M Euro in maintenance costs each year, and deliver a better, more predictable experience for our customers.”
Marco Caposciutti, Head of Technical Division, Trenitalia
INTEL® XEON® PROCESSOR E7 v4 FamilyScalable
Performance
2X more analytics queries£
v s . t h e p r e v i o u s g e n e r a t i o n
support for up to 64 sockets ¥
Up to
Advanced Reliability
Intel® Run Sure
Technologysystem uptime
application availabilitydata integrity
Industry-Leadingmemory capacity
Up to
24TB memory support¤
2X the previous generation
real-t ime analyt ics
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. Configurations: See Appendix I. For more complete information about performance and benchmark results, visit www.intel.com/E7v4records.
real-time BIG DATA analytics IS A NEED ACROSS ALL MARKETS
NEED FOR DATA SCIENTISTS AND VERTICAL MARKETS EXPERTISE
INTEL IS ENABLING OPEN BIG DATA computing PLATFORMS