Welcome Jim Steiner Vice President, Oracle

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Morning Session Tracks

Pavilion  Room  

•  Introductory  Sessions  

Horizon  A  

•  Expert  “Deep  Dive”  Sessions  

Horizon  B  

•  Spa@al  Prac@@oner  Sessions  

Afternoon Session Speakers

SIG Meeting 4:15 PM

Panel 4:45pm - 5:15pm

Closing Reception 5:15pm

End of Day Activities

Jim Steiner Vice President, Oracle

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

Intersection of Four Communities

Geospatial

Open Systems Applications

Information Technology

Key trends for Spatial applications

•  Location Aware Everything •  Volunteered Geographic Information – Crowd Sourcing • Real Time Analytics •  Sensor / stream computing (CEP) • Ubiquitous 3-D, LiDAR, georeferenced video •  Spatial in the Cloud – Shared Services • Open Source “beyond the infrastructure”

Intersection of Four Communities

Geospatial

Open Systems Applications

Information Technology

Technology Trends

Deep Analytics

On Premise, On Cloud,

Shared Services

Simplify IT Big Data

Technology Trends

Big Data

Transactions Your Data: Decisions based on your data

Big Data: Decisions based on all data relevant to you

Machine-Generated Data

Social Data

Documents

Oracle SAP Any Data, Any Source

Big Data Sources

The Four V’s

VOLUME VELOCITY VARIETY VALUE

BLOG

SMART METER

GEODATA

Growth In Data

1.8 Zettabytes of information in 2011

35 Zettabytes of information in 2020

8X growth since 2005

20X growth per year

New Technologies

Big Data •  Hadoop

• MapReduce •  HDFS • Multiple related tools

•  NoSQL Databases •  Key Value, Columnar, Graph,

XML Stores

Fast Data •  Stream Processing

•  Complex Event Processing •  Real time Discovery

•  Exploration and analysis of structured, semi-structured, and unstructured data

•  Real time Analytics •  Hybrid in-memory search /

analytic engine

Technology Trends

Simplify IT

50% of IT Costs are in Services

IT Spend

$850 Billion

Services

Hardware

Software

Oracle View of the Data Dilemma

Complete Stack •  Best-of-Breed

•  Open

•  Vertical Integration

•  Extreme Performance

•  Engineered Systems

Complete Choice

•  On-Premise

•  Private Cloud

•  Public Cloud

•  Hybrid

Oracle Exadata Oracle Big Data Appliance

Oracle Exalytics In-Memory Machine

Any Data, Any Source

Full Range of Analytics

Integrated Applications

On the Cloud, On Mobile

•  Oracle Database

•  Exadata Software

•  Oracle Spatial

•  Oracle NoSQL •  Oracle R •  Cloudera CDH

Hadoop

•  Oracle BI with Map Views •  Oracle TimesTen •  Oracle Essbase •  Oracle Endeca with MapViewer

Engineered Systems

• Fastest Data Warehouse & OLTP: – 10X-20X fast load and query times – 10X storage savings, 80% less power,

and lot less space

• Highly Quantifiable Results: – Enhanced customer service – Prediction of better data traffic trends – Capture of lost billing revenue – Lean, green, cost efficient data center

• 1/5th to1/8th cost of other alternatives

Your Data

Oracle Exadata

Highest Performance Database Engineered Systems for Your Data & Big Data

Exadata

•  Pre-configured and optimized for Big Data processing – 18 Servers, 864GB RAM, 648TB Storage/

Rack

– 40 Gb/s InfiniBand, inter-rack, inter-node connectivity and 10 Gb/s Ethernet, data center connectivity

– Cloudera CDH Hadoop, Cloudera Manager, Oracle R, NoSQL

– Oracle Loader, Oracle Data Integrator, HDFS Connector for integration

•  Integrates into your existing architecture – Streams data into Exadata @12-15 TB/hour

Big Data

Oracle Big Data Appliance

Complete, Cost-effective Big Data Platform Engineered Systems for Your Data & Big Data

Big Data Appliance

25 Copyright © 2011, Oracle and/or its affiliates. All rights reserved.

Time  to  Build  

Op.miza.ons  

Maintenance  

Why Build A Hadoop Appliance?

• Adaptive In-Memory cache stores & computes analytic data all in-memory – >10X Responsiveness and Throughput – 3-5X Columnar Storage and Compression

• Cache algorithms ensure frequently used data is always in-memory – Guaranteed Sub-Second Interactivity – Summary Advisor automates aggregate

creation and management •  Immersive desktop and mobile user

experience

Adaptive In-Memory Cache (TimesTen)

Oracle Business Intelligence

Dense Visualizations

Summary Advisor

OLTP DW / Data Mart Custom

Exalytics In-Memory Machine

In-Memory Reporting & Analysis At the Speed of Thought

Support for Open Standards

• Hybrid in-memory search / analytic engine – Combines un-structured/structured

and internal/external data (big data)

– Enables search, navigation, and discovery of data and correlations

• Highly interactive UI for discovery/exploration – Situational Awareness Analytics

– Customer 360 Analysis

– Competitive Intelligence

Unified Indexing

Data Mashup

Text Analysis

Unified Search

Faceted Navigation

Interactive Exploration

Information Discovery

Exalytics In-Memory Machine

Spatial Analysis

In-Memory Reporting & Analysis At the Speed of Thought

Flexible Deployment On Premise, On The Cloud, On Mobile

• Self-service

• Multi-tenant enabled

• Full range of BI capabilities

• Mobile consumption without any content re-work

Mobile & Cloud

Deployment

Oracle Public Cloud    An Enterprise Cloud for your Business

Sell  smarter  with  Fusion  CRM  in  the  cloud  

Bring  power  to  your  people  with  Fusion  HCM  in  the  cloud  

A  secure  collabora.on  tool  for  everyone  you  work  with  

All  the  produc.vity  of  Java,  without  the  IT  

The  Oracle  Database  you  love,  now  in  the  cloud  

Simple monthly based subscription

Multiple tiers with growth option

Elastic consumption model grow and shrink as needed

Oracle Public Cloud    Simple Pricing Model

Technology Trends

Deep Analytics

Simplify IT Big Data Big Data Volunteered Geographic Information

Sensors Streaming Data

Geo-referenced Video, 3D, LiDAR

Simplify IT Support for Open Standards

Incorporate Open Source

Support by Leading Partner solutions Spatially-enabled Engineered Systems

Deep Analytics

Realtime Spatial Event Processing Dense Visualization

Spatial Analysis

On Premise, On Cloud,

Shared Services

On Premise, On Cloud,

Shared Services

Shared GeoSpatial Services Location Aware Everything

Enjoy the Day!