QCon is a practitioner-driven conference designed for technical team leads, architects, and project managers who influence software innovation in their teams.

Siddharth Anand, Senior Staff, Service Infrastructure, LinkedIn

Siddharth Anand

Biography: Siddharth Anand

Siddharth "Sid" Anand has deep experience designing and scaling high-traffic web sites. Currently, he is a senior member of LinkedIn's Service Infrastructure team. 
Prior to joining Linked In, he served as Netflix's Cloud Database Architect, Etsy's VP of Engineering, a search engineer and researcher at eBay, and a performance engineer at Siebel Systems. He graduated from Cornell University with both BS and M.Eng degrees -- his graduate work focused on distributed computing.
System Scalability and Performance, Distributed Systems, Algorithms
Twitter : @r39132

Presentation: Future of Data Architecture: NoSQL, Big Data, Linked Data and the Cloud

Track: Big Data and NoSQL / Time: Friday 13:50 - 14:50 / Location: Mountbatten Room

This panel discussion will explore the future of data and data architectures for performance and scalability. Panelists will discuss innovations in and the future of databases, including cloud databases, NoSQL, NewSQL, graph databases, big data analytics, semantics and linked data.

Presentation: Data Infrastructure @ LinkedIn

Track: Big Data and NoSQL / Time: Friday 15:20 - 16:20 / Location: Mountbatten Room

With over 135 Million members worldwide, LinkedIn is an indispensible means to connect professionals the world over. By mining data from its ever-growing professional network, LinkedIn recommends jobs, connections, skills, and ads to its members. Using this same information, LinkedIn has proven itself a reliable hiring tool for companies in search of skilled talent. As LinkedIn continues to grow in popularity and features, its need for fast access to large sets of rapdily evolving data will grow. How are we handling these challenges? Come and find out about LinkedIn's data infrastructure products.