BDSBTB 2015: David Andrzejweski, Economical Machine Learning via Functional Programming

(40:37)

BDSBTB 2015: Matthew Fuchs, Map/Reduce as an Example of Programming with Categories

(48:43)

BDSBTB 2015: Martin Odersky, Spark -- the Ultimate Scala Collections

(43:53)

BDSBTB 2015: Lee Mighdoll, The Live Layer and The Lambda Architecture

(33:13)

BDSBTB 2015: Vladimir Bacvanski, Developing Big Data Applications with Scalding

(26:59)

BDSBTB 2015: Xiaojun Liu, Scalable Analytics of Machine Data

(22:12)

BDSBTB 2015: Leah McGuire, Un-collaborative Filtering: Recommendations when Users Aren’t Helping

(39:8)

BDSBTB 2015: Dan Osipov, Scala at Shazam

(26:43)

BDSBTB 2015: Closing Panel

(1:25:14)

BDSBTB 2015: Ola Wilberg, Building a Health Data platform for the Future

(20:53)

BDSBTB 2015: Chris Fregly, Spark After Dark: Generating high-quality Dating Recommendations

(48:46)

BDSBTB 2015: Jieren Chen, Lambda architecture - a Blueprint for Building Big Data Systems

(24:32)

BDSBTB 2015: Thomas Gerber, Index of all US Small and Medium Business with Scala and Spark

(18:12)

BDSBTB 2015: Koji Sekiguchi, NLP4L: Natural Language Processing Tool for Apache Lucene

(39:41)

BDSBTB 2015: Neville Li, Scala Data Pipelines at Spotify

(37:45)

BDSBTB 2015: Romain Rigaux and Erick Tryzelaar, Interactive Spark in your Browser

(22:48)

BDSBTB 2015: Ryan LeCompte: Quantifind's story: Building Custom Interactive Data Analytics

(41:42)

BDSBTB 2015: Simon Chan, DASE – A Design Pattern for Machine Learning with Scala, Spray and Spark

(19:37)

BDSBTB 2015: Matei Zaharia, New Developments in Spark

(35:8)

BDSBTB 2015: Jay Kreps, Apache Kafka and the Rise of The Stream Data Platform

(29:21)