3. Accelerating Innovation & Time to Value
SolidFire
kaggle
Pandora
Amazon
iHandy DocuSign
Music
Finance
Urban
Travel
AppFog
Xactly Dragon Diction
Parse
Taleo
LinkedIn Reference
UPS Mobile
Plex Systems
eBay
Manufacturing Projects
Product Configurator
CRM
Bills of Material
HP
Quickbooks
Order Entry
EMC
HCM
IBM Hitachi
OpenText
Workscape
Cost Management
box.net
Sport
ScaleXtreme
LimeLight Yandex
Hootsuite CloudSigma
Qvidian
Games
695,000 status updates
Pinterest
Workbrain
11million instant messages
nebula HP ePrint Twitter
CyberShift
98,000+ tweets
Lifestyle
Atlassian
Foursquare cloudability
Zoho
Datapipe Alterian
Every 60 seconds
Splunk
Scanner Pro
NetReach
NetDocuments
Inventory
Quality Control
Burroughs
Ariba
Bromium
PingMe
buzzd Amazon Web Services
Tata Communications
MRM
Engineering
SCM
GoGrid
Hyland
Hosting.com
CCC
SAP
Facebook
Google
DCC
SmugMug
salesforce.com
SuperCam Snapfish
NetSuite
Joyent
Scribd.
Sage
Unisys
Megabytes!
Cash Management
ERP
NEC
Bull
Time and Expense
Fijitsu
Payroll
Microsoft
OpSource
Xerox Serif SLI Systems
Avid
Elemica
ADP VirtualEdge
Billing
Activity Management
Training
Sales tracking & Marketing
PLM
Microsoft
Rostering
Service
Commissions
Data Warehousing
Kenexa
Sonar6
Softscape
Softscape
NetSuite
Exact Online
FinancialForce.com
IntraLinks
Volusion
168 million+ emails sent
Yammer
Entertainment Viber
SuccessFactors
Education
Answers.com
Atlassian
BrainPOP
Sonar6
Heroku
698,445 Google searches
Renren
Kinaxis
Quadrem
Cornerstone onDemand
Navigation Yandex Mixi
Photo & Video
Khan AcademyZillabyte
Saba
Saba
Intacct
Workday Baidu
SugarCRM
PPM
Database
Zynga
Yahoo!SCM
Yahoo
Zettabytes!
iSchedule
CyberShift PaperHost
Adobe Corel
Time & Attendance
Claim Processing
Gigabytes!
HCM
Fixed Assets
Costing
Accounts Receivable
Mobile, Social,
Big Data & The Cloud
The Internet
Client/Server
Mainframe
Kilobytes
RightScale
Social Networking
CYworld
MobileFrame.com YouTube
Jive Software
Business
myHomework
Qzone
Tumblr.
Toggl News
Fring
dotCloud
Amazon
Xing
Cookie Doodle
New Relic Mozy
MailChimp
Ah! Fasion Girl
Associatedcontent
SmugMug
Atlassian
Rackspace Flickr
MobilieIron
PingMe
BeyondCore
Productivity
Fed Ex Mobile
Twitter
Paint.NET
Zynga
Utilities
TripIt
1,820TB of data created
217 new mobile web users
Yottabytes
4. Business challenge – Opportunities lost
Competitive Advantage in the Digital Universe in 2012
Massive amounts of useful data are getting lost
% of data that would
be potentially useful
IF tagged and
analyzed
23%
0.5%
¹Source: IDC The Digital Universe in 2020, December 2012
% of the Digital Universe that
actually is being tagged and
analyzed
3%
% actually being
tagged for Big Data
Value (will grow to
33% by 2020)
5. Technology challenge Legacy techniques have all fallen short.
86%!
Stale technologies
Talent shortage
of corporations cannot
deliver the right information,
at the right time to support
enterprise outcomes all of
the time³
³Source: Coleman Parkes Survey Nov 2012
IT frustration
Lack of insight
6. Key Market Drivers
Lower cost and demonstrate value to the business
How do I know the
data is current?
Massive growth in volume and variety of data
High expectations for up-to-date data
Data access for Business Analysts
How can I make
sense of all this data?
How do I align this
data for business
insights?
7. Big Data challenges that are often overlooked
1. Did you just call my baby ugly?
2.
That’s not what we used before!
8. Credit Card Risk Analysis PoC Results Summary
Measure
Data Mart
Vertica PoC
Factor
Rows
365 MM
857 MM
2.56
Table Space
338 Gbyte
983 Gbyte
2.91
BI
74 Seconds
1.62 Seconds
45.68
Transaction
77 Seconds
0.48 Seconds
160.42
Scan
65 Minuets
52.0 Seconds
75.00
Extreme
Not Attempted
5.68 seconds
-------
Virtual Mart
Not Attempted
52.4 seconds
-------
Result Summary
• PoC contained almost three times (3X) the data volume of Data Mart
• PoC queries executed 93 times faster on average than Data Mart
• PoC was implemented on a single node with commodity (HP) hardware
9. Big Data challenges that are often overlooked
1. Did you just call my baby ugly?
2. That’s not what we used before!
3. It’s just commodity hardware, right?
10. HP server speeds into the Guinness World Record
books
The ProLiant DL 980 recently earned a Guinness
World Record by loading and analyzing 34.3
terabytes of structured and unstructured data per
hour in a system configuration that also uses the
HP 3PAR StoreServ storage array technology.
Just how fast is 34.3 terabytes per hour? So fast that it could load the entire
Library of Congress in under 35 minutes. That’s more than 155 million items,
including more than 23 million books, 68 million manuscripts, and much, much
more.
So what can our customers do with the DL980?
• California Department of Health Care Services was able to replace 400 of a
competitor’s servers with just 4 DL980s
• Netherlands customer reduced their data center footprint by 16 square meters and its
power consumption by 87.5%
• Bank Sinopac was able to cut bulk transactions execution time from 8 hours to 4
hours.
11. Project Kraken
Demonstrating SAP Business Suite on SAP HANA
▪ Meeting SAP needs for a
technology platform to handle
large amounts of in-memory
computing resources%
• Leadership platform%
• Biggest ever SAP HANA machine%
• Development platform for next
generation SAP HANA (e.g.,
DragonHawk)%
• Mission-critical environment%
Watch: SAP Business Suite on HANA
%
▪ 2013 at SAP press event
“…we co-labored with HP to demonstrate an x86-based 160 core 8 TB machine, nick-named Kraken running
200 B scans per second…similar to the HP system we put together 20 years ago, just been updated with latest
technology…”
% Dr. Vishal Sikka, CTO and executive board member, SAP on 10 Jan
–
12. HP AppSystem for Apache Hadoop – Cloudera
%
• Easier to deploy & scale with unique HP Cluster
Manager%
%
• Easier to manage with real time performance
visualization%
%
• Faster data analysis with ProLiant Gen8 platform%
%
• Faster loading, sorting, and analysis - 10TB at
120GB/min
1!
Push-button
deployment
800! 3.8x! 5x!
Nodes in
minutes not
months
Times Faster Memory
13. Project Mercury: eBay runs Hadoop on HP
That’s a lot of data!!
!
• Over 300 million items for sale
“We have gone all in on Big Data, because data
is absolutely king” - Dean Nelson, Senior
director of global foundation services, eBay
• More than 100 million active users
• Over $2,000 in transactions/second
!
%
The Next Generation Data Center!
!
• Two 24 Petabyte Hadoop clusters
• Largest data warehouse expansion in eBay’s history
• Data capacity grew by 500% over six months
%
14. Big Data challenges that are often overlooked
1. Did you just call my baby ugly?
2. That’s not what we used before!
3. It’s just commodity hardware, right?
4. Is your solution sustainable?
15. HP Moonshot System
The world’s first software defined server
HP Moonshot 1500 Chassis
Supports shared components including
power, cooling, and management and fabric
%
Software defined servers
45 individually serviceable hot-plug
cartridges
80%
Less space
77%
Less cost
Source: HP internal analysis
89%
Less energy
97%
Less complexity
16. HP ProLiant SL4500 HyperStorage Series
Purpose built storage density and efficiency for scale out storage
SL4540 & SL4545%
(1X60)
Object Storage &
DB
One node
Unmatched storage
density with 60 LFF drives
in a single node per
chassis
SL4540 & SL4545%
(2X25)
SL4540 & SL4545 %
(3X15)
Email & Hadoop
MongoDB &
Hadoop
Two node
Three node
Ideal combination storage
density and compute with 25
LFF drives per node in a dual
node chassis
Optimal storage and compute
with 15 LFF drives per node
in a triple node chassis
17. HP is leading in Big Data innovations
Fastest Time to Value; Purpose Built for Big Data Scale and Performance
HP solutions deliver more choice to meet specific workloads , data
volumes and variety versus our competitors’ “one-size-fits-all”
approach
AppSystem for AppSystem for AppSystem for
Vertica
SAP HANA
Apache Hadoop
AppSystem for AppSystem for
Microsoft PDW
Autonomy
18. HAVEn – Big Data Platform
HAVEn
Hadoop/
Autonomy
HDFS
IDOL
Catalog massive
volumes of
distributed data
Social media
Video
Process and
index all
information
Audio
Email
Enterprise
Vertica
Security
Analyze at
extreme scale
in real-time
Texts
Mobile
Collect & unify
machine data
Transactional
data
Documents
IT/OT
nApps
Powering
HP Software
+ your apps
Search engine
Images
