Presentations

• Posted by Shirshanka Das  on  Apr 02, 2017
  AI, ML & Data Engineering

  Big Data Infrastructure @ LinkedIn

  Shirshanka Das describes LinkedIn’s Big Data Infrastructure and its evolution through the years, including details on the motivation and architecture of Gobblin, Pinot and WhereHows.

  Shirshanka Das

  on  Apr 02, 2017

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  50:48
• Posted by Tom Gianos  on  Feb 15, 2017
  DevOps

  Petabytes Scale Analytics Infrastructure @Netflix

  Tom Gianos and Dan Weeks discuss Netflix' overall big data platform architecture, focusing on Storage and Orchestration, and how they use Parquet on AWS S3 as their data warehouse storage layer.

  Tom Gianos Dan Weeks

  on  Feb 15, 2017

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  45:26
• Posted by Randy Shoup  on  Jul 19, 2014
  The Game of Big Data: Scalable, Reliable Analytics Infrastructure at KIXEYE

  Randy Shoup describes KIXEYE's analytics infrastructure from Kafka queues through Hadoop 2 to Hive and Redshift, built for flexibility, experimentation, iteration, testability, and reliability.

  Randy Shoup

  on  Jul 19, 2014

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  51:04
• Posted by Brenden Matthews  on  Dec 31, 2013
  Data & Infrastructure at Airbnb

  Brenden Matthews describes the infrastructure built at Airbnb using Mesos in order to support Hadoop and Storm.

  Brenden Matthews

  on  Dec 31, 2013

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  46:49
• Posted by Mike Nolet  on  Oct 18, 2013
  Making the Internet a Better Place: Scaling AppNexus

  Mike Nolet shares lessons learned scaling AppNexus and architectural details of their system processing 30TB/day: Hadoop, DNS built in GSLB and Keepalived, and real-time data streaming built in C.

  Mike Nolet

  on  Oct 18, 2013

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  45:11
• Posted by Manvir Singh Grewal  on  Jan 04, 2013
  Lean Data Architecture: Minimize Investment, Maximize Value

  Manvir Singh Grewal and Brandon Byars propose a business intelligence workflow along with Lean principles and practices for implementing a data warehouse and reporting capability.

  Manvir Singh Grewal Brandon Byars

  on  Jan 04, 2013

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  53:59
• Posted by Bhaven Avalani  on  Dec 21, 2012
  Big Data Problems in Monitoring at eBay

  Bhaven Avalani and Yuri Finklestein discuss 4 aspects encountered at eBay when dealing with monitoring data: reduction of data entropy, robust data distribution, metric extraction, efficient storage.

  Bhaven Avalani Yuri Finklestein

  on  Dec 21, 2012

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  50:16
• Posted by Cliff Click  on  Dec 20, 2012
  Big Data, Small Computers

  Cliff Click discusses RAIN, H2O, JMM, Parallel Computation, Fork/Joins in the context of performing big data analysis on tons of commodity hardware.

  Cliff Click

  on  Dec 20, 2012

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  22:53
• Posted by Serkan Piantino  on  Nov 26, 2012
  Facebook News Feed: Social Data at Scale

  Serkan Piantino discusses news feeds at Facebook: the basics, infrastructure used, how feed data is stored, and Centrifuge – a storage solution.

  Serkan Piantino

  on  Nov 26, 2012

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  40:57
• Posted by Bruce Durling  on  Sep 20, 2012
  Saving the World (from|with) Big Data

  Bruce Durling discusses the impact of cloud computing on the climate and what can be done to reduce the amount of CO2 generated by data centers in order to process big data.

  Bruce Durling

  on  Sep 20, 2012

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  25:20
• Posted by Ram Singh  on  Aug 24, 2012
  "Big Data" and the Future of DevOps

  Ram C Singh discusses using Big Data for infrastructure telemetry along with good practices and an autonomic engine to create an autonomic computing infrastructure that might prevent downtime.

  Ram Singh

  on  Aug 24, 2012

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  25:05