how to use kafka to understand the english premier league
TRANSCRIPT
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U"lizing Spark Streaming for analyzing a real-‐"me sport data feed
Demonstra"on
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Camera Tracking Systems
An array of cameras around the field capture the players and ball posi6ons LIVE
Used by the NBA since 2011-‐2012
Tennis “hawk eye”
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aggregate the speed and distance run of each player IN REAL TIME
Our goal:
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• The camera array sends a feed of 25 frames per second • Each frame captures the x,y,z coordinates of every player • A live feed of sport data is actually preLy serious Big Data!
Challenges
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Demo Architecture
Database
Inges6on Process Store Visualize Deliver
ALL designed in Talend – NO coding
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6 ©2015 Talend Inc
Demo Time!
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Next Step: From Analysis to Predic"on
Team stats Who is the most likely to score next? Which team is going to win?
Individual players stats Which player need a rest/bench? Which player are being traded (à bring in historical data)
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Free Trial: Talend Big Data Sandbox
• A ready-‐to-‐run Docker environment
• A step-‐by-‐step expert guide: the cookbook
• Real-‐world scenarios using Spark, KaPa, MapReduce & NoSQL
• Iot Analy"cs • Real-‐"me Recommenda"on • Clickstream Analysis • Weblogs Analysis • EDW Offload
www.talend.com/BigDataSandbox
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