3rd day big data

© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.1
Intro to Big Data
and Real-Time
Analytics
Turning data into
answers
April 11, 2013

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© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
The Big Data Opportunity

Putting Big Data in Perspective: January 1983
Compaq’s first portable computer
shipped!
TWO real floppy drives and 128KB
memory …….
Michael Jackson had the
chart topper “Billie Jean” on
LP

Cost of a Gigabyte in 1983: $1,000,000
Source: http://www.mkomo.com/cost-per-gigabyte

YouTube
Viber
Qzone
Amazon Web Services
GoGrid
Rackspac
e
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
MobilieIronSmugMug
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 AssetsCosting
Billing
Time and Expense
Activity
Managemen
t
Training
Time &
Attendance
Rostering
Service
Data Warehousing
The
internet
Client/server
Every 60 seconds
23,148
+apps downloaded
98,000
tweets
400,710
ads requests
2000
lyrics played
on Tunewiki
208,333
minutes Angry
Birds played
IBM
Unisys
Burroug
hs
Hitachi
NEC
Bull
Fijitsu
Mainframe
The explosion of data is not news to anyone …
Mobile, social,
Big data & the
cloud

Today, data analysis is slow, painful and costly
?
?

Business Objectives

Lower cost and demonstrate value to the business
Key Market Drivers
Massive growth in volume and variety of data
High Expectations for up-to-date and current data
Data access for Business Analysts
How do I know the
data is current?
How can I make
sense of all this data?
How do I align this
data for business
insights?

Use of Analytics in your Customer’s Business
Degrees of Intelligence
Forecast
CompetitiveAdvantage
Predict
Real Time
Decisions
Identify Exact Problem
Automatic Alerts & Actions
Statistical Analysis and Forecasting
Predictive Modeling
Proactive Optimized Decisions

Consequences for not Changing
Continued growth of data forces
architectures away from their original
design strengths
Higher costs for lower performance
Competitive advantage erodes at top
speed in a fast moving market

What is Vertica

Legacy architectures were built for a different
world
• Proprietary
• Expensive
• Centralized,
monolithic
• Process laden
• Batch
• Summary
• Slow
Yesterday’s data warehouse
and analytic infrastructure

50x-1000x faster performance at 30% the cost, proven by more than 2500 customers & OEMs
Vertica, purpose built for answers in near real
time
1000x
Volume Variety Velocity
Value
Vertica is a real time analytics database
platform purpose built for Big Data.

Advanced analytics
Time-series, geospatial, click-streamand an SDK for more
Designed for answers from the very first line of
code, Vertica technology makes the difference
Achieve best data query performance with unique Vertica column
store
Columnar
storage and
execution
Add resources on the fly with linear scaling on the grid, commodity hardwareClustering
Store more data, provide more views, 90% less storage requiredCompression
Query and load 24x7 with zero administration
Continuous
performance
Database design
Automated performance tuning

Vertica architecture – every element purpose
built for volume, variety, velocity and value
Next-generation administration and design tools
True column store - RDBMS
Native and performance optimized high availability
Real time massively parallel processing
Columnar
Compression Concurrent
Load &
Query
Elastic
Cluster SQL
Analytics
User-
Defined
Analytics
Optimized
Connectors
Standard
Interface

Success Stories

2500+ Customers and Growing
Communications Consumer Marketing Online Web & Gaming Healthcare RetailFinancial Services

Big Data Analytics
Hundreds of customers have invested in Vertica
FINANCIAL SERVICES
COMMUNICATIONS
CONSUMER MARKETINGHEALTHCARE
RETAILONLINE WEB AND GAMING
“Vertica opened doors to analyses
that otherwise were either too time-
intensive or impossible. That
knowledge is invaluable in an
aggressively competitive market like
ours.”
- Brian Harvell, Executive Director for
Network Operations, Comcast
“Started small with one research
effort, result set came back so fast
that we thought the queries had
failed. Today we’ve moved the entire
analytics stack to Vertica! Thrilled to
be a Vertica customer!”
- Doug Porter, SVP & CIO, BlueCross
BlueShield Association

• Promotional Testing
• Claims Analyses
• Patient Records Analyses
• Clinical data Analyses
• Fraud Monitoring
• Financial Tracking
• Tick data back-testing
• Behavior Analytics
• Click Stream Analyses
• Network Analyses
• Customer Analytics
• Compliance Testing
• Loyalty Analysis
• Campaign Management
More than 2500 customers & OEMs in multiple
industries are finding answers

What ANSWERS do you need?

3rd day big data

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