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50:03

My Three Ex’s: A Data Science Approach for Applied Machine Learning

Posted by Daniel Tunkelang  on  Dec 05, 2014

Daniel Tunkelang focuses on the data science mindset for successfully applying machine learning to solve problems: express, explain, experiment.

49:40

Samza in LinkedIn: How LinkedIn Processes Billions of Events Everyday in Real-time

Posted by Neha Narkhede  on  Dec 05, 2014

Neha Narkhede of Kafka fame shares the experience of building LinkedIn's powerful and efficient data pipeline infrastructure around Apache Kafka and Samza to process billions of events every day.

44:52

Structure, Personalization, Scale: A Deep Dive into LinkedIn Search

Posted by Asif Makhani, Daniel Tunkelang  on  Nov 01, 2014

The authors discuss some of the unique challenges they've faced delivering highly personalized search over semi-structured data at massive scale.

52:00

Lessons from Building LinkedIn Mobile - HTML5 & Node.js

Posted by Kiran Prasad  on  Feb 10, 2014

Kiran Prasad discusses what impact mobile has on architecture, explaining how HTML5 and Node.js can help, and sharing how to use these technologies effectively at scale.

54:59

Building Modern Web Sites: A Story of Scalability and Availability

Posted by Siddharth Anand  on  Sep 21, 2013

Sid Anand uses examples from LinkedIn, Netflix, and eBay to discuss some common causes of outages and scaling issues. He also discusses modern practices in availability and scaling in web sites today.

51:44

Lessons from Building and Scaling LinkedIn

Posted by Jay Kreps  on  Jun 30, 2013

Jay Kreps discusses the evolution of LinkedIn's architecture and lessons learned scaling from a monolithic application to a distributed set of services, from one database to distributed data stores.

LinkedIn Search: Searching the Social Graph in Real Time

Posted by John Wang  on  Apr 26, 2011

John Wang discusses LinkedIn real-time distributed search engine architecture and implementation details for People Search, Signal, Stream Indexing, Zoie, and Bobo.

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