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


$3 Hey


$3 Hey

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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

http://en.wikipedia.org/wiki/File:Compaq_portable.jpg


Cost of a Gigabyte in 1983: $1,000,000

Source: http://www.mkomo.com/cost-per-gigabyte

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

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

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

Co

mp

etitive

Ad

va

nta

ge

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 hardware Clustering

Store more data, provide more views, 90% less storage required Compression

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 Retail Financial Services


Big Data Analytics Hundreds of customers have invested in Vertica

FINANCIAL SERVICES

COMMUNICATIONS

CONSUMER MARKETING HEALTHCARE

RETAIL ONLINE 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

Technology

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