Big Data Strategy

Enrich your Data Warehouse A Big Data Sales Play


Enrich Your Data Warehouse Agenda

The Data Challenge

Big Data Enabling Technologies

Architecting a Big Data Global Solution

Solution Value & Benefits

Customer Examples

Summary & Next Steps


The Data Challenge


695,000 Status updates

510,040 Comments

2,000,000 Search Queries

204,166,667 Emails

571 New

Websites

The Data Challenge Leveraging untapped data for commercial gain


MEDIA/ ENTERTAINMENT

Viewers / advertising effectiveness

Cross Sell

COMMUNICATIONS

Location-based advertising

EDUCATION & RESEARCH

Experiment sensor analysis

Retail / CPG

Sentiment analysis

Hot products

Optimized Marketing

HEALTH CARE

Patient sensors, monitoring, EHRs

Quality of care

LIFE SCIENCES

Clinical trials

Genomics

HIGH TECHNOLOGY / INDUSTRIAL MFG.

Mfg quality

Warranty analysis

OIL & GAS

Drilling exploration sensor analysis

FINANCIAL SERVICES

Risk & portfolio analysis

New products

AUTOMOTIVE

Auto sensors reporting location, problems

Games

Adjust to player behavior

In-Game Ads

LAW ENFORCEMENT & DEFENSE

Threat analysis - social media monitoring, photo analysis

TRAVEL & TRANSPORTATION

Sensor analysis for optimal traffic flows

Customer sentiment

UTILITIES

Smart Meter analysis for network capacity,

Fact: Data Expansion

ON-LINE SERVICES / SOCIAL MEDIA

People & career matching

Web-site

optimization


EDUCATION & RESEARCH

Experiment sensor analysis

Retail / CPG

Sentiment analysis

Hot products

Optimized Marketing

HEALTH CARE

Patient sensors, monitoring, EHRs

Quality of care

LIFE SCIENCES

Clinical trials

Genomics

OIL & GAS

Drilling exploration sensor analysis

Games

Adjust to player behavior

In-Game Ads

LAW ENFORCEMENT & DEFENSE

Threat analysis - social media monitoring, photo analysis

UTILITIES

Smart Meter analysis for network capacity,

Fact: Data Expansion

ON-LINE SERVICES / SOCIAL MEDIA

People & career matching

Web-site

optimization

Finding and Monetizing

Unknown Relationships

Analyze Bigger, More

Diverse Data Sets

Data Driven

Business Decisions

MEDIA/ ENTERTAINMENT

Viewers / advertising effectiveness

Cross Sell

COMMUNICATIONS

Location-based advertising

HIGH TECHNOLOGY / INDUSTRIAL MFG.

Mfg quality

Warranty analysis

FINANCIAL SERVICES

Risk & portfolio analysis

New products

AUTOMOTIVE

Auto sensors reporting location, problems

TRAVEL & TRANSPORTATION

Sensor analysis for optimal traffic flows

Customer sentiment


What our customers are doing, Today A sampling of Production Systems (I)

• Move to extremely fine-grained category management

• Leverage new data to reduce defects / returns CPG

• Generate data sets to support regulatory requirements

• Reduce system cost and complexity Banking

• Replace current ETL solution with Hadoop

• Drive cost out of environment Comms


What our customers are doing, Today A sampling of Production Systems (II)

• Network quality of service

• Ad-hoc systems diagnostics and trouble shooting Comms

• Understand data that spans both “old” and new media

• Drive customer as well as content decisions Media

• Consolidation of data streams for quality analysis

• Ad-hoc trouble shooting and early detection of quality issues Automotive


Generalizing the Use Cases

1. Save Cost => Offload of batch processing

1. Drive Value => Enriching the data warehouse

Two distinct themes emerge


Big Data Enabling Technologies


New as well as Proven Technologies

The Hadoop Family

The NoSQL Family

Event Processing Technologies

Oracle Database / Oracle Exadata

And more…


Hadoop

Framework for distributed processing

Large Data Sets

Clusters of Computers

Simple Computing Models

Highly Available Service


Cross-Platform Strengths

Exadata +

Oracle Database

Extreme Performance

Highly Secure

Analytic SQL

Rich Tool Set

Vast Expertise

Big Data Appliance +

Hadoop

Low-cost Scalability

Flexible Schema on

Read

Abstract Storage Model

Open

Rapid Evolution


Architecting a Big Data Global Solution


Capturing Data Expansion Enrich Data Warehouse with Data Reservoir

Marts Data Warehouse

Σ Σ

Business

Intelligence

• Online

• Scalable

• Flexible

• Cost

Effective

Hadoop


Capturing Data Expansion Instant Responses to Streaming Data

Data Warehouse Business

Intelligence

• Online

• Scalable

• Flexible

• Cost

Effective

Hadoop

Event Decisions

NoSQL


Oracle Big Data Solution

Oracle BI Foundation Suite

Oracle Real-Time Decisions

Endeca Information Discovery

Business Analytics

Oracle

Advanced

Analytics

Oracle

Database

Oracle

Spatial

& Graph

Big Data Platform

Oracle Big Data Connectors

Oracle Data Integrator

Fast Data

Oracle Event Processing

Apache Flume

Oracle GoldenGate

Oracle

NoSQL

Database

Cloudera

Hadoop

Oracle R

Distribution


Big Data Connectors and Data Integrator


Hadoop

Exadata +

Oracle Database

15TB / hour

10x Faster


Analyze All Your Data In-Place


Hadoop

Exadata +

Oracle Database

Advanced

Analytics


Expose All Data to End Users


Hadoop

Exadata +

Oracle Database

Endeca

OBI EE


Oracle Big Data Solution

Oracle BI Foundation Suite

Oracle Real-Time Decisions

Endeca Information Discovery

Business Analytics

Oracle

Advanced

Analytics

Oracle

Database

Oracle

Spatial

& Graph

Big Data Platform

Oracle Big Data Connectors


Fast Data

Oracle Event Processing

Apache Flume

Oracle GoldenGate

Oracle

NoSQL

Database

Cloudera

Hadoop

Oracle R

Distribution

Scalable key-value store

Scalable, low-cost data storage

and processing engine

Statistical analysis framework


Solution Value & Benefits


Big Data Appliance for Hadoop and NoSQL

Multi-Purpose

Big Data

Platform

Simplified

Operations

Comprehensive

Security

Lower TCO

than DIY

Hadoop


Big Data Appliance

Includes all components of Cloudera Enterprise and Add-ons

– Cloudera CDH

– Cloudera Impala

– Cloudera HBase (with Apache Accumulo)

– Cloudera Search

– Cloudera Manager (incl. BDR and Navigator)

Oracle NoSQL Database

Oracle R Distribution

Multi-Purpose Big Data Platform


Big Data Appliance

Beats a DIY Cluster on:

Initial Cost

Time to Value

Operations

Performance

Lower TCO than DIY Hadoop

40% Cost Savings

33% Faster Time to

Value

$0k

$700k

DIY BDA


Big Data Appliance

Out-of-the-Box Performance

One-command:

– Installation

– Patching

– Updating

– Expansion

Enterprise Manager Plug-in for Big Data Appliance

Single Contact for all Support

Simplified Operations


Big Data Appliance

Authenticate

Authorize

Audit

Comprehensive Security

Databases Relational Data

Hadoop Non-Relational Data

Operating Systems

Audit Vault


Customers Examples


Western European Media Company Creating a linked customer analytics system

Objectives

Maximizing customer value

Optimizing campaign cost through

Automation and Targeting

Solution

Single, rich customer repository based on

Big Data Appliance and NG Data® Lily®

Analytics drive: subscriber management (up-sell/cross-sell,

churn, conservation)

editorial use (article engagement, adapt content

over time)

- Toyota Global Vision

Customer Data

Store

Digital, RDBMS,

External

BDA

Mobile

Web

Subscribers

NG Data

Lily

Customer

Analytics

Phase 1:

Improved Data Quality

Single View of all Customers improves

customer management

Benefits

Social

Customer

Analytics &

Aggregated data

Oracle Data

Warehouse

Business

Objects


US-based Bank Lowering Costs by Simplifying IT Infrastructure

Objectives

Comply with regulations requiring more

data to support stress testing

Reduce IT costs & streamline processing

by eliminating duplicate data stores

Solution

Single, reliable BDA/Exadata-based ODS

supporting all downstream systems

Landing zone & archival repository for

both structured & unstructured data

Use Exadata as “19th” BDA node

- Toyota Global Vision

Operational Data Store Mainframe,

RDBMS, more

BDA Exadata

• Agile business

model

• All data

• De-normalized

& Partial-

normalized

• Normalized

• Aggregate data

• EDW

Oracle Enterprise Manager


Data Delivery

Master

S1

Master

S2

Master

Sn SOA/API

CRMS

Other

Fast access to 85% more data

Lower costs, simplified architecture and

fast time to value

Benefits


Thomson Reuters Identifying Cross Sell and Upsell Opportunities

Objectives

Maximize cross-sell opportunities

Lower cost and complexity

Solution

Economically capture all customer activity

Testing 50M events/sec ingest rates into

BDA and Oracle NoSQL DB

Feeds Exadata EDW for customer

profitability & segmentation analysis

Rick King Chief Operating Officer for Technology

Thomson Reuters

“Oracle's engineered systems… are geared

toward high performance big data delivery - and

that is exactly the type of work we do”

BDA Exadata Exalytics

EDW

Sandbox & DR

Event Capture

& Store

Interactive

Analytics

Research

Applications

Upsell/Cross Sell


Summary

Business requirements are here now

– Your end users want more analytics and more data

Technology is available

– Hadoop, NoSQL, Event Processing are commercially available

Technology is increasingly easy to consume

– Oracle Big Data Appliance, Oracle Exadata make deployment much

simpler compared to DIY systems

Your competitors are doing this today – so should you!

Enrich Your Data Warehouse Now!


Next Steps and Call to Actions (1)

Book now your « Big Data Workshop »

– Discovery

Industry focused

Aimed at Business (Analysts, PMs, Exec Sponsors)

– Architecture

Enrich Your Data Warehouse option

Aimed at Head of Architecture, EA, BI Infrastructure, BD initiative

– Technical

aimed at making our customers comfortable and knowledgeable with

some of the components in the Oracle Big Data Solutions Portfolio

Begin your Big Data journey


Next Steps and Call to Actions (2)

Identify an area where new data could be a source of business

innovation and value

Define and Execute a “Big Data Discovery” project

– Identify potential data sources

– Understand which data provides most value

– Understand the structure and links are with other data

– Understand data types and volumes

Assess the results and use to help define the Big Data project

– Architecture

– Value Proposition

Begin your Big Data journey

Big Data Strategy

Documents

Transcript of Big Data Strategy