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Big Data –An Overview WWW.KAASHIVINFOTECH.COM.

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Presentation on theme: "Big Data –An Overview WWW.KAASHIVINFOTECH.COM."— Presentation transcript:

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


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