1. Big Data –An Overview

2. Introduction Oracle MoviePlex is an on-line movie streaming company
Like many other on-line stores, they needed a cost effective approach to tackle their “big data” challenges
They recently implemented Oracle’s Big Data Platform to better manage their business, identify key opportunities and enhance customer satisfaction

3. Common Big Data Challenge
Applications are generating massive volumes of unstructured data that describe user behavior and application performance
Today, most companies are unable to fully capitalize on this potentially valuable information due to cost and complexity
How do you capitalize on this raw data to gain better insights into your customers, enhance their user experience and ultimately improve profitability?
{"custId": ,"movieId":null,"genreId":null,"time":" :00:00:07","recommended":null,"activity":8}
{"custId": ,"movieId":1948,"genreId":9,"time":" :00:00:22","recommended":"N","activity":7}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:00:26","recommended":null,"activity":9}
{"custId": ,"movieId":11547,"genreId":44,"time":" :00:00:32","recommended":"Y","activity":7}
{"custId": ,"movieId":11547,"genreId":44,"time":" :00:00:42","recommended":"Y","activity":6}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:00:43","recommended":null,"activity":8}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:00:50","recommended":null,"activity":9}
{"custId": ,"movieId":608,"genreId":6,"time":" :00:01:03","recommended":"N","activity":7}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:01:07","recommended":null,"activity":9}
{"custId": ,"movieId":27205,"genreId":9,"time":" :00:01:18","recommended":"Y","activity":7}
{"custId": ,"movieId":1124,"genreId":9,"time":" :00:01:26","recommended":"Y","activity":7}
{"custId": ,"movieId":16309,"genreId":9,"time":" :00:01:35","recommended":"N","activity":7}
{"custId": ,"movieId":11547,"genreId":44,"time":" :00:01:39","recommended":"Y","activity":7}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:01:55","recommended":null,"activity":9}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:01:58","recommended":null,"activity":9}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:02:03","recommended":null,"activity":8}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:03:39","recommended":null,"activity":8}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:03:51","recommended":null,"activity":9}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:03:55","recommended":null,"activity":8}
{"custId": ,"movieId": ,"genreId":44,"time":" :00:04:00","recommended":"Y","activity":7}
{"custId": ,"movieId":27205,"genreId":9,"time":" :00:04:03","recommended":"Y","activity":5}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:04:39","recommended":null,"activity":9}
{"custId": ,"movieId":424,"genreId":1,"time":" :00:05:02","recommended":"Y","activity":4}

4. Common Big Data Challenge
Applications are generating massive volumes of unstructured data that describe user behavior and application performance
Today, most companies are unable to fully capitalize on this potentially valuable information due to cost and complexity
How do you capitalize on this raw data to gain better insights into your customers, enhance their user experience and ultimately improve profitability?
{"custId": ,"movieId":null,"genreId":null,"time":" :00:00:07","recommended":null,"activity":8}
{"custId": ,"movieId":1948,"genreId":9,"time":" :00:00:22","recommended":"N","activity":7}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:00:26","recommended":null,"activity":9}
{"custId": ,"movieId":11547,"genreId":44,"time":" :00:00:32","recommended":"Y","activity":7}
{"custId": ,"movieId":11547,"genreId":44,"time":" :00:00:42","recommended":"Y","activity":6}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:00:43","recommended":null,"activity":8}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:00:50","recommended":null,"activity":9}
{"custId": ,"movieId":608,"genreId":6,"time":" :00:01:03","recommended":"N","activity":7}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:01:07","recommended":null,"activity":9}
{"custId": ,"movieId":27205,"genreId":9,"time":" :00:01:18","recommended":"Y","activity":7}
{"custId": ,"movieId":1124,"genreId":9,"time":" :00:01:26","recommended":"Y","activity":7}
{"custId": ,"movieId":16309,"genreId":9,"time":" :00:01:35","recommended":"N","activity":7}
{"custId": ,"movieId":11547,"genreId":44,"time":" :00:01:39","recommended":"Y","activity":7}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:01:55","recommended":null,"activity":9}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:01:58","recommended":null,"activity":9}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:02:03","recommended":null,"activity":8}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:03:39","recommended":null,"activity":8}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:03:51","recommended":null,"activity":9}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:03:55","recommended":null,"activity":8}
{"custId": ,"movieId": ,"genreId":44,"time":" :00:04:00","recommended":"Y","activity":7}
{"custId": ,"movieId":27205,"genreId":9,"time":" :00:04:03","recommended":"Y","activity":5}
{"custId": ,"movieId":null,"genreId":null,"time":" :00:04:39","recommended":null,"activity":9}
{"custId": ,"movieId":424,"genreId":1,"time":" :00:05:02","recommended":"Y","activity":4}
How can you get answers to….

5. Derive Value from Big Data
How can you ….
Make the right movie offers at the right time?
Better understand the viewing trends of various customer segments?
Optimize marketing spend by targeting customers with optimal promotional offers?
Minimize infrastructure spend by understanding bandwidth usage over time?
Prepare to answer questions that you haven’t thought of yet!

6. Oracle Big Data Platform
EA Big Data Roundtable
May 2012
Oracle Big Data Platform
Oracle Big Data
Appliance
Oracle Big Data
Connectors
Oracle
Exadata
Oracle
Exalytics
Optimized for Hadoop,
R, and NoSQL Processing
“System of Record”
Optimized for DW/OLTP
Optimized for
Analytics & In-Memory Workloads
Oracle Enterprise Performance Management
Oracle Business Intelligence Applications
Oracle Business Intelligence Tools
Oracle Endeca Information Discovery
Hadoop
Open Source R
Applications
Oracle NoSQL
Database
Oracle Big Data Connectors
Oracle Data Integrator
Data
Warehouse
Oracle Advanced Analytics
Oracle
Stream Acquire Organize Discover & Analyze
Copyright 2012 Oracle Corporation. All rights reserved.

7. MoviePlex Architecture
Log of all activity on site
Application Log
Oracle Exalytics
Endeca Information Discovery
Oracle Business Intelligence EE
Customer Profile
(e.g. recommended movies)
Capture activity nec. for MoviePlex site
Oracle Big Data Appliance
Oracle NoSQL DB
Streamed into HDFS using Flume
Oracle Exadata
Clustering/Market Basket
Oracle Advanced Analytics
“Mood” Recommendations
Load Recommendations
HDFS
Load Session & Activity Data
Oracle Big Data Connectors
Map Reduce
ORCH - CF Recs.
Map Reduce
Pig - Sessionize
Map Reduce
Hive - Activities

8. Acknowledgements
Movie information courtesy of The Internet Movie Database ( Used with permission.
Movie images provided by the TMDb API but is not endorsed or certified by TMDb
All customer information and session details are completely fictitious

9. Oracle’s Big Data Platform
OPERATIONALIZE
STREAM
DECIDE
ACQUIRE
VISUALIZE
ORGANIZE
ANALYZE
DISCOVER

10. THANK YOU