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Large Scale Analytics using Imhotep, built by Indeed

This month Indeed will be presenting their work on Imhotep, their large scale analytics platform. Tom Bergman, leading product development in Indeed's San Francisco office, and Jeff Plaisance, Engineering Manager, will present how Indeed built this system to scale the building of decision trees on large amounts of job search data. The talk will discuss both the practical applications of the technology as well as the technical details of its development.

Indeed will be providing pizza, pop, water, and beer!

Talk Summary

To scale the building of decision trees on large amounts of Indeed job search data, we created a system called Imhotep. In addition to being a crucial tool for building these machine learning models, Imhotep has proven to be applicable to many different analytics problems. The core of Imhotep is a distributed system that manages the parallel execution of queries across a set of time-sharded inverted indices.

This talk will cover Imhotep’s primitive operations that allow us to build decision trees, drill into data, build graphs, and even execute sql-like queries in IQL (Imhotep Query Language). We will also discuss what makes Imhotep fast, highly available, and fault tolerant.

Speaker Bio

Tom Bergman is Product Manager leading product development at Indeed's new San Francisco Office. Previously he worked on Indeed's Aggregation and Data Analysis tools.

Jeff Plaisance is an Engineering Manager at Indeed focused on search quality and analysis tools, including the datastore that serves up billions of jobs daily for Indeed's search results. 

Jack Humphrey is director of the engineering teams that build Indeed’s job search and resume products. Since joining Indeed in 2009, he has helped build the service architecture that now handles over 4 billion job searches monthly.

Agenda 

5:30pm - 6:00pm: Networking, food/drink  
6:00pm - 7:00pm: Presentation  
7:00pm - 7:30pm: Closing remarks, Networking

Getting to Big Fish

Parking  
There are about 20 spots in the lot in front of the building. Please use the spots marked for Big Fish rather than Classmates/Memory Lane. If there are no spots available, there are spots along the street and in the parking garages east of Elliott toward the Seattle Center.

Big Fish Games, Inc.  
333 Elliott Avenue West, Suite 200  
Seattle, WA 98119

Public Transit  
The 33/24 buses from downtown have stops very close to the office. The D/8/13/1 buses have stops about a 6 minute walk from the office.

Reach the Organizer

The organizer can be reached at [masked] or (206)[masked].

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