Big Data – Are You Ready?

December 15th , 2011ICT ForumDecember 15th, 2011

Frank ZervosTechnology Director SEEOracle Hellas

Big Data Buzz

“Keeping Afloat in a Sea of 'Big Data”ITBusinessEdge – 9/6/11

“Why big data is a big deal”InfoWorld – 9/1/11

“The challenge–and opportunity–of big data”McKinsey Quarterly—5/11

“Getting a Handle on Big Data with Hadoop”Businessweek-9/7/11

“Ten reasons why Big Data will change the travel industry”Tnooz -8/15/11

“The promise of Big Data”Intelligent Utility-8/28/11

Big Data Use Cases

Today’s Challenge New Data What’s Possible

HealthcareExpensive office visits Remote patient monitoring Preventive care, reduced

hospitalization

ManufacturingIn-person support Product sensors Automated diagnosis, support

Location-Based ServicesBased on home zip code Real time location data Geo-advertising, traffic, local

search

Public SectorStandardized services Citizen surveys Tailored services,

cost reductions

RetailOne size fits all marketing Social media Sentiment analysis

segmentation

What Makes it Big Data?

VOLUME VELOCITY VARIETY VALUE

SOCIAL

BLOG

SMARTMETER

101100101001001001101010101011100101010100100101

So What is Big Data?

Big Data refers to datasets that grow so large that it is difficult to capture, store, manage, share, analyze and visualize with the

typical database software tools.

How much is Big?It is not a single number but a set of parameters

Where Do We See Big Data?

Datawarehouses OLTP Social Networks Scientific Devices

E v e r y w h e r e

SOCIAL

Diverse Data Sets

Transactions

Information Architectures Today:Decisions based on

database data

Big Data:Decisions based on

all your data

Video and Images

Machine-Generated DataSocial Data

Documents

Why Is Big Data Important?

Source: * McKinsey Global Institute: Big Data – The next frontier for innovation, competition and productivity (May 2011)

US HEALTH CARE

$300 BIncrease industry value per year by

US RETAIL

60+%Increase net margin by

MANUFACTURING

–50%Decrease dev.,

assembly costs by

GLOBAL PERSONAL LOCATION DATA

$100 BIncrease service

provider revenue by

EUROPE PUBLIC SECTOR ADMIN

€250 BIncrease industry value per year by

Big Data Is About…

Tapping into diverse data sets

Finding and monetizingunknown relationships

Data driven business decisions

MakeBetter DecisionsUsingBig Data

Big Data in Action

ANALYZE

DECIDE ACQUIRE

ORGANIZE

Acquire all available data

Big Data in Action

ANALYZE

DECIDE

ORGANIZE

ACQUIRE

Organize and distill big data using massive parallelism

Big Data in Action

ANALYZE

DECIDE ACQUIRE

ORGANIZE

Analyze all your data, at once

Big Data in Action

ANALYZE

DECIDE ACQUIRE

ORGANIZEANALYZE

Decide based on real-time big data

Big Data in Action

ANALYZE

ACQUIRE

ORGANIZE

DECIDE

Big Data in Public Sector • Answer formerly unanswerable questions

• Formulate new questions and become much more agile

• Make evidence based decisions• Democratize your data• Visualize invisible knowledge

• Big data is here – now• Data breaches• Intrusion of privacy• Unfair use of Data

•Operational efficiency and productivity

•Fraud detection and prevention

•Close tax gaps

•Value for money for citizens

•Prevent crime waves

•Customize actions based on population segments

•Public utilities to reduce consumption

•Produce safety from farm to fork

What’s in Big Data for Public Sector

Big Data Public Sector Barriers

Shortage of expertise.

Lack of Technology solutions.

Lack of Data-driven mind-set.

Information attainability.

Political resistance.Legal issues (liability, intellectual property

rights etc).

Oracle Integrated Solution Stack for Big Data

ACQUIRE

Oracle NoSQLDatabase

HDFS

EnterpriseApplications

ORGANIZE

Hadoop(MapReduce)

Oracle Loaderfor Hadoop

Oracle DataIntegrator

DECIDE

Analytic Applications

ANALYZE

In-D

atab

ase

Ana

lytic

s

DataWarehouse

Oracle Integrated Solution StackOracle Engineered Systems

ACQUIRE ORGANIZE ANALYZE DECIDE

Maximizing the Value of Enterprise Big Data

•Hardware and software for Big Data

•Integrates all enterprise data

•Fastest time-to-market

•Eco Efficiency

•Unmatched performance

and best cost/performance