op Technology Trends for 2014 • Emergence of the Mobile Cloud Mobile distributed computing paradigm will lead to explosion of new services. • From Internet of Things to Web of Things Need connectivity, internetworking to link physical and digital. • From Big Data to Extreme Data Simpler analytics tools needed to leverage the data deluge. • The Revolution Will Be 3D New tools, techniques bring 3D printing power to masses. • Supporting New Learning Styles Online courses demand seamless, ubiquitous approach. 2 • Next-generation mobile networks Mobile infrastructure must catch up with user needs. • Balancing Identity and Privacy Growing risks and concerns about social networks. • Smart and Connected Healthcare Intelligent systems, assistive devices will improve health. • E-Government Interoperability a big challenge to delivering information. • Scientific Cloud Computing Key to solving grand challenges, pursuing breakthroughs.

1. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Make a difference with Big Data
Lynn Wong
APJ Regional Business Lead
Big Data Category

2. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 2 CONFIDENTIAL
Top Technology Trends for 2014
•
Emergence of the Mobile Cloud Mobile distributed computing paradigm will lead to explosion of new services.
•
From Internet of Things to Web of Things Need connectivity, internetworking to link physical and digital.
•
From Big Data to Extreme Data Simpler analytics tools needed to leverage the data deluge.
•
The Revolution Will Be 3D New tools, techniques bring 3D printing power to masses.
•
Supporting New Learning Styles Online courses demand seamless, ubiquitous approach.
•
Next-generation mobile networks Mobile infrastructure must catch up with user needs.
•
Balancing Identity and Privacy Growing risks and concerns about social networks.
•
Smart and Connected Healthcare Intelligent systems, assistive devices will improve health.
•
E-Government Interoperability a big challenge to delivering information.
•
Scientific Cloud Computing Key to solving grand challenges, pursuing breakthroughs.

3. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Big Data Market Dynamics

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Deliver results with Analytics
Capitalizing on Big Data

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changing the art of management”
“

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Don’t CxO’s already have reports and warehouses ?
So what’s new?
Volume
Velocity
Variety
Vulnerability

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How do you benefit from the 2.5 exabytes humanity creates every day?
Volume
“We don’t have better algorithms, we just have more data”
Peter Norvig, Director of Research, Google

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Variety
Business
Data
10% of Information
Annual Growth
~100%
~10%

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Variety
Human Information
Machine Data
Business
Data
10% of Information
90% of Information
Annual Growth
~100%
~10%

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Velocity
Anticipate energy needed
No time for an overnight batch run!
Estimate flight arrivals
Detect card fraud
Predict equipment failure
Repel criminal attacks
Find the best markets
Beat the crowds

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Then there’s “V” for vulnerability
Data theft
Legal search, fraud
100+ million credit cards stolen – after 5 audits declared all “okay”
70%+ of the cost of litigation is classification

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Accelerating Innovation & Time to Value
695,000 status updates
98,000+ tweets
698,445 Google searches
1,820TB of data created
11million instant messages
168 million+ emails sent
YouTube
Viber
Qzone
Amazon Web Services
GoGrid
Rackspace
LimeLight
Jive Software
salesforce.com
Xactly
Paint.NET
Business
Education
Entertainment
Games
Lifestyle
Music
Navigation
News
Photo & Video
Productivity
Reference
Social Networking
Sport
Travel
Utilities
Workbrain
SuccessFactors
Taleo
Workday
Finance
box.net
Facebook
LinkedIn
TripIt
Pinterest
Zynga
Zynga
Baidu
Twitter
Twitter
Yammer
Atlassian
Atlassian
MobilieIron
SmugMug
SmugMug
Atlassian
Amazon
Amazon
iHandy
PingMe
PingMe
Associatedcontent
Flickr
Snapfish
Answers.com
Tumblr.
Urban
Scribd.
Pandora
MobileFrame.com
Mixi
CYworld
Renren
Xing
Yandex
Yandex
Heroku
RightScale
New Relic
AppFog
Bromium
Splunk
CloudSigma
cloudability
kaggle
nebula
Parse
ScaleXtreme
SolidFire
Zillabyte
dotCloud
BeyondCore
Mozy
Fring
Toggl
MailChimp
Hootsuite
Foursquare
buzzd
Dragon Diction
SuperCam
UPS Mobile
Fed Ex Mobile
Scanner Pro
DocuSign
HP ePrint
iSchedule
Khan Academy
BrainPOP
myHomework
Cookie Doodle
Ah! Fasion Girl
PaperHost
SLI Systems
NetSuite
OpSource
Joyent
Hosting.com
Tata Communications
Datapipe
PPM
Alterian
Hyland
NetDocuments
NetReach
OpenText
Xerox
Google
Microsoft
IntraLinks
Qvidian
Sage
SugarCRM
Volusion
Zoho
Adobe
Avid
Corel
Microsoft
Serif
Yahoo
CyberShift
Saba
Softscape
Sonar6
Ariba
Yahoo!
Quadrem
Elemica
Kinaxis
CCC
DCC
SCM
ADP VirtualEdge
Cornerstone onDemand
CyberShift
Kenexa
Saba
Softscape
Sonar6
Workscape
Exact Online
FinancialForce.com
Intacct
NetSuite
Plex Systems
Quickbooks
eBay
MRM
Claim Processing
Payroll
Sales tracking & Marketing
Commissions
Database
ERP
CRM
SCM
HCM
HCM
PLM
HP
EMC
Cost Management
Order Entry
Product Configurator
Bills of Material
Engineering
Inventory
Manufacturing Projects
Quality Control
SAP
Cash Management
Accounts Receivable
Fixed Assets
Costing
Billing
Time and Expense
Activity Management
Training
Time & Attendance
Rostering
Service
Data Warehousing
The Internet Gigabytes
Client/Server Megabytes
Every 60 seconds
IBM
Unisys
Burroughs
Hitachi
NEC
Bull
Fijitsu
Mainframe
Kilobytes
Mobile, Social,
Big Data & The Cloud
Zettabytes
217 new mobile web users
Yottabytes

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14. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 14 CONFIDENTIAL
Big Data: Where is coming from
Today based on transactions
Business Model
Business Decisions
Business Intelligence
Data
Model
Web pages
Blogs
---------
---------
-------
---------
---------
Tomorrow better decision
Transaction Collection
Transactional Data
$ € ¥
Email
Social Media
Images
Search Engine
Audio
Video
Instant messaging
IM

15. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 15 CONFIDENTIAL
Type
Pressures
Example
Big shift
Structured
Inefficient scaling
Reporting
From rows to columnar
Semi- structured
Trillions of events
Security logs
See, understand, act
Human
Video, audio, images
Call center recordings
Meaning based computing
Streaming
Real-time patterns & prediction
Online sales
All three plus real-time
Changing paradigms of data processing

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Market dynamics of Big Data and Analytics
Data explosion
•
Human and machine information growth can’t be contained
•
Data growth over past 5-10 years surpasses all data from last 5 decades
Evolving delivery models
•
Every phone call, tweet, Facebook update, and e-mail generates new information
•
Consumerization of IT blurs line between employees and consumers
Real time decision making
•
Organizations can’t react and respond quickly enough
•
Only 20% of CIOs have real-time access to customer data

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Datasets whose volume, velocity, variety and complexity exceed ability of commonly used software tools to capture, process, store, manage, and analyze them.
*Gartner, Inc., “Big Data” Is Only the Beginning of Extreme Information Management”, Mark A. Beyer, Anne Lapkin, Nicholas Gall, Donald Feinberg, Valentin T. Sribar, Published 7 April 2011
What exactly is Big Data?
Information Sources
Mobile
Transactional Data
Search
Texts
CRM, SCM, ERP
$ € ¥
Images
Email
Social Media
IT Ops
Audio
Video
Velocity
Volume
Variety
Complexity
Big
Data
•
Both structured and unstructured data present new opportunities for buyers, service providers, researchers and consumers as a means for better understanding the world.

18. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 18 CONFIDENTIAL
Data “Lake”
Imagine if you were able to…
Transactional data
Ingest
Understand
Analyse
Social media
Images
Audio
Video
Mobile
Email
Texts
Documents
ERP
Business intelligence
…
Your apps
…
Analytics
…
Machine Data
Business Data
Human Information
In-memory
Hadoop
Standard APIs & tools
100% of your data
Seamlessly
Interact with
and process
…
Open connectors

19. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 19 CONFIDENTIAL
Virtualization
Cloud
SAP HANA
Big Data
Gartner Hype Cycle
Technology Adoption Cycle
HP Big Data solutions are poised to cross “the chasm” Mapping Converged Systems to the hype cycle

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Customers plan to invest in Big Data
40% CAGR – The “Moneyball” Effect

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Big Data Impacts all of us

22. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 22 CONFIDENTIAL
Big Data Innovation changes the game of IT operation

23. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
HP HAVEn

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HP HAVEn
HAVEn
Social media
IT/OT
Images
Audio
Video
Transactional data
Mobile
Search engine
Email
Texts
Catalogue massive volumes of distributed data
Hadoop/ HDFS
Process and index all information
Autonomy IDOL
Analyze at extreme scale in real-time
Vertica
Collect & unify machine data
Enterprise Security
Powering HP Software + your apps
nApps
Documents
Approaching Big Data with an intelligent software architecture

25. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 25 CONFIDENTIAL
Horizontal Use Cases
n-Apps Big Data opportunity
Big data use cases are business-driven and cut across a wide range of industries & functions
Sources: IDC: 2012 “Worldwide Big Data Technology and Services Forecast: 2011-2015, Gartner: 2012 “Big Data Drives Rapid Changes in Infrastructure and $232 Billion in IT Spending Through 2016
Healthcare
•
Drug development
•
Scientific research
•
Evidence based medicine
•
Healthcare outcomes analysis
Manufacturing
•
Supply chain optimization
•
Defect tracking
•
RFID Correlation
•
Warranty management
Telecom
•
Broadcast monitoring
•
Churn prevention
•
Advertising optimization
Government
•
Law enforcement
•
Counter terrorism
•
Traffic flow optimization
Finance
•
Fraud detection
•
Anti-money laundering
•
Risk management
Energy
•
Weather forecasting
•
Natural resource exploration
•
Sentiment analysis
•
Security analytics
•
Social CRM / network analysis
•
Churn mitigation
•
Brand monitoring
•
Cross and Up sell
•
Loyalty & promotion analysis
•
Web application optimization
•
Operations analytics
•
Marketing campaign optimization
•
Brand management
•
Social media analytics
•
Pricing optimization
•
Internal risk assessment
•
Customer behavior analysis
•
Revenue assurance
•
Logistics optimization
•
Clickstream analysis
•
Influencer analysis
•
IT infrastructure analysis
•
Legal discovery
•
Equipment monitoring
•
Enterprise search

26. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 26 CONFIDENTIAL
•
Finance
•
Product managers
•
Marketing
•
Sales
•
Supply chain
•
Security
•
IT
Every customer role will benefit from Big Data
1IDC, The Digital Universe Decade , May 2010.
IDG Research Services, IT Executives Vision, conducted for HP, for 2020, May 2012

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Only HAVEn delivers
100% of your data
1000x faster answers
50-90% less hardware
1,000,000+ machine events per second
•
Create better products/services
•
Improve customer experience
•
Defeat cybercriminals
•
Protect your IT investments
•
Protect your information
•
Protect your applications
30x
data per server
•
Machine data
•
Business data
•
Human information
700+ connectors

28. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 28 CONFIDENTIAL
Start by asking questions about business objectives
Growth
Resource planning
Cost reduction
Operational efficiencies
New business models
Risk reduction
Talent management
Customer satisfaction
Planning
•
How would the ability to ingest and react to data in real-time help you?
•
What “human information” would you like to better leverage?
•
What’s inhibiting you from effectively combining machine, structured, semi-structured and streaming data today?
•
How would theft of your data impact your operations?
•
What would it cost to manage 100x the amount of data you retain today?
And drill into how data matters in each case

29. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 29 CONFIDENTIAL
The lines between traditional OLTP, OLAP and Analytics workloads have blurred
The Changing Nature of Big Data systems
Sales
Finance
Marketing
Operations
CRM
HR
Sales Targets, Finance Targets, etc.
Transactional Data
ETL and Information Management
Analytics and Reports/Dashboards
Data extract, cleanse, integrate
Homogenized grain, time relationships, dimensionality
Business calculations,
Summarization, hierarchies
Data warehouse
Analytics cubes
Reporting, analysis & visualization tools

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Shortcomings of legacy techniques for big data
Stale technologies
Talent shortage
³Source: Coleman Parkes Survey Nov 2012
IT frustration
Lack of insight
… preventing organizations from:
•
Developing disruptive business models
•
Creating better products and services
•
Enhancing customer experience
•
Driving sustained competitive advantage
Proprietary vs Open
Monolithic vs Scalable
Batch vs Real-time
Summary vs Granular

31. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
HAVEn

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HAVEn - Ecosystem
Cloud
Integrators
Converged Infrastructure
Enterprise Services
Business Intelligence Partners
Data Partners
Social media
IT/OT
Images
Audio
Video
Transactional data
Mobile
Search engine
Email
Texts
Documents
HAVEn
Resellers
hp.com/haven
Technology Services

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© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
33
Call center
Suppliers
Point of sale
Machine data
Customer sentiment (emails, social media, forums)
Data sources
Legacy data warehouse
Bringing big data analytics to legacy data warehouses and dark data
Use case focus – EDW and Hadoop augmentation
Operational
analytics
Reporting and analytics
Dashboards
Lines of business
Finance
Human resources
Sales/CRM
Operations
Dark data/not captured
•
Expensive
•
Not “right time”
•
Not detailed enough
•
Slow

34. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 34 CONFIDENTIAL
HP ConvergedSystems for Big Data Ready for HAVEn
Lego:
Lego Blocks: ConvergedSystems built from core building blocks
Lego Kit: Specific use case, target market and market segment addressed by a ConvergedSystem solution
Lego City: Scalable, expandable, extensible HAVEn components

35. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 35 CONFIDENTIAL
HP Converged Systems for Big Data
Product Description
–
HP Converged Systems address the growing needs of customers looking for enterprise ready & secure solutions to analyze big data cost effectively
Ideal Customer
–
Medium to Large Enterprises and Lines of Business that are considering alternatives to expensive big data technologies for targeted use cases
–
Provide customers the choice and flexibility they need to address a variety of Big Data workloads
Customer Value and Metrics
–
Easy to procure, build and manage
Development Goals
–
Deliver a portfolio of HP Converged Systems to support leading and innovative big data use cases
–
Establish HP as a market leader and trusted advisor for big data
Related Services
–
Technology services for installation, deployment and support
–
Technology consulting for big data portfolio and business transformation

36. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 36 CONFIDENTIAL
Blazingly fast big data analytics at massive scale and low TCO
Introducing HP ConvergedSystem 300 for Vertica
50x-1,000x faster performance
70% less per Terabyte than legacy data warehouses*
Performance
•
Accelerate your existing EDW with near real-time analytics
Cost
•
More Data for Less
•
Competitively priced against EMC and Teradata
Simplified, rapid deployment
Time to value
•
Up and running in days vs. months
•
Modular building block for HAVEn architecture
* Based on large US bank customer success story

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© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
37
HAVEn
Call center
Suppliers
Point of sale
Machine data
Customer sentiment (emails, social media forums)
Data sources
Legacy data warehouse
Bringing big data analytics to legacy data warehouses and dark data
Use case focus - EDW and Hadoop augmentation
Operational
analytics
Reporting and analytics
Dashboards
Hadoop data
Analytics makes up ~40% of the workload in a data warehouse environment
Lines of business
Finance
Human resources
Sales/CRM
Operations
•
Cost effective
•
Real-time
•
Deep granularity
•
Fast

38. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 38 CONFIDENTIAL
Converged System 300 for Vertica
Improved efficiencies and lower TCO
•
70 percent savings in software and hardware costs4
•
Cost-effective design saves up to 66 percent in DBA resources5
•
Single system for structured and unstructured data
•
2X to 15X deeper compression than legacy data ware houses translate into lower infrastructure and admin costs6
Blazingly fast, near real-time analytics
•
50–1,000X faster performing queries7
•
ETL delays can be avoided for many types of analytics leading to faster, more reliable insights
•
Plug and play connectors can rapidly ingest unstructured data from multiple data sources simultaneously
•
Compression significantly lowers query latency
•
Seamless scaling based on workload demands
Simplified deployment
•
Pre-tested, preconfigured, turnkey solution to deploy in days vs. weeks or months8
•
Unified deployment, management and monitoring experience
•
Integrated solution level support and deployment services
•
Plug and play connectors can move data into and out of Vertica rapidly
Key Value Proposition

39. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 39 CONFIDENTIAL
HP Vertica Analytics
Platform
What does HP ConvergedSystem 300 for Vertica do
What Goes In
Raw data
What Comes Out
Meaningful Information
•
Call Center Data
•
Customer Transactions/Lists
•
Inventories
•
Purchases
•
Web Logs
•
Sensor Information
•
Data from Web
•
Etc.
•
Web Analytics
•
Reports and Information
•
Best Selling Product
•
Best Customer
•
Most Returned Product
•
Path to Purchase
•
Forward-looking Information
•
Where are the markets
•
Many other questions
Information Consumers
Connected Systems
HP DL380p Rack

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Product details
HP ConvergedSystem 300
Integrated, configurable, pretested turnkey solution for managing and analyzing big data including
•
Baseline 3-node compute block
–
Expandable to 16 nodes
–
HP Vertica 7 Analytics software and licenses
•
Dedicated management block
–
HP Insight CMU, Insight Control and CS300-specific management software
•
HP Networking switches
•
Rack and infrastructure block
•
Factory Express installation and configuration
•
Solution-level (single call) 3-year support
•
Installation and Deployment service
•
Optional Big Data consulting services

41. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 41 CONFIDENTIAL
Standard Configuration
Performance Configuration
Starter Block
(3-16)
Compute Servers
(3-16)
DL380p, 2 x E5-2690v2 processors, 10GigE 2-port 561FLR adapter, 128 GB RAM
DL380p, 2 x E5-2690v2 processors, 10GigE 2-port 561FLR adapter, 256 GB RAM
Storage
23 x 600 GB10k SAS SFF
2 x 300GB 10K system disks
23 x 1.2 TB 10k SAS SFF
2 x 300GB 10K system disks
Mgmt Servers (2)
DL360p, 2 x E5-2660v2 processors / 128 GB RAM / 8 x 600 GB disks / 10GigE 2-port 561 FLR Adapter
Networking Block (2)
HP 5900AF-48XGT-4QSFP+ Switches
OS Software
RHEL 6.4 (or latest), Windows 2012 SE
Big Data SW
HP Vertica 7 Analytics Platforms
Management Stack
HP Insight Control, Insight CMU, Vertica Console, Insight Diagnostics, Insight Remote Support, HP SUM, CS developed-appliance-specific console, Windows Server
HAVEn ready
HP Restricted: For HP Internal Use Only
HP ConvergedSystem 300 for Vertica - Product Details

42. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 42 CONFIDENTIAL
The Vertica Technology
Achieve best data query performance with unique Vertica column store
Linear scaling by adding more resources on the fly
Store more data, provide more views, use less hardware
Query and load 24x7 with zero administration
Columnar storage and execution
Clustering
Compression
Continuous performance
Automated Performance Tuning
Database Design
Time-series, geospatial, click-stream
and an SDK for more
Advanced Analytics

43. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 43 CONFIDENTIAL
HP Vertica Analytics Platform
•
Big data analytics for real time business intelligence
•
Limitless scaling - add nodes for capacity and performance
•
Extreme compression - up to 90% space reduction
•
Load and go simplicity, MPP, no single point of failure
•
Bi-directional Hadoop data connectors
Real-time and ad hoc analytics

44. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 44 CONFIDENTIAL
HP intelligent end-to-end approach helps deliver right-time business decisions
Information Infrastructure
•
Intelligent Design for performance and high availability
•
Intelligent Scaling by Workload for high efficiency scale up or seamless scale out
•
Intelligent delivery models for on-premise, cloud, or hybrid cloud
Information Management
Information Insight
•
Intelligent Management for a holistic management, governance and security
•
Intelligent Culling (Prioritization) for separating signal from noise and optimizing resources to act on useful data
•
Intelligent Workload Characterization for optimizing for transactional, warehouse or analytic workloads which can significantly vary in memory, processor, storage and networking requirements
•
Intelligent pan-enterprise functionality for multichannel management and delivery
•
Intelligent purpose-built scalable analytic platforms for advanced, predictive and real-time analytics

45. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 45 CONFIDENTIAL
HP offers a full suite of packaged services for Big Data
•
Complete lifecycle solution services to accelerate time to business results
–
Strategy Services
–
Design and Transition
–
Start Services
–
HP Solution Support
•
Application transformation and hosting options
•
Flexible leasing and financing to accelerate business priorities

46. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 46 CONFIDENTIAL
Make Data Matter
Why HP for Big Data
Unmatched HAVEn platform
100% data covered: structured, unstructured, semi-structured
Complete hardware, software, and services portfolio
#1 HPC vendor for 8 years
No vendor lock-in
Largest partner ecosystem
Unprecedented success designing & building scale-out projects

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Our partner ecosystem

48. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
hp.com/go/bigdata

49. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP 49 CONFIDENTIAL
“Autonomy, with the power of its IDOL engine, takes fan data, collects, it stores, and stitches it together…that helps us understand what is being talked about across the ecosystem of the sport.”
- Senior Director of IT, NASCAR
HP Autonomy Solution:
•
Autonomy IDOL + Autonomy Explore
Results:
•
Wildly successful NASCAR Fan and Media Engagement Center collects and aggregates fan information
•
Understands sentiment, identifies emerging issues, and uncovers trends that help the NASCAR team share and enrich the fan and broadcast experience
Powering real-time, multichannel fan engagement