▶Open on YouTube ↗FunctionalTVArchivesfspark.org: John St. John, A High Level Overview of Genomics in Personalized Medicine
▶Open on YouTube ↗FunctionalTVArchiveSBTB 2015, SF Scala @Nitro: Alex Minnaar, Introduction to Topic Modeling and Evaluation Techniques
▶Open on YouTube ↗FunctionalTVArchiveSBTB 2015, SF Scala @Nitro: Malcolm Greaves, A Type Class for Data of All Sizes
▶Open on YouTube ↗FunctionalTVArchiveSBTB 2015, SF Scala @Nitro: Marek Kolodziej, Scala, FP and Spark - the Perfect Combo for ML
▶Open on YouTube ↗FunctionalTVArchiveSBTB 2015, SF Scala @Nitro: Paul Kinsky, Generating Immutable Case Classes from Avro Schemas
▶Open on YouTube ↗FunctionalTVArchiveReactive.community: Ben Christensen, Reactive Extensions (Rx) at Netflix
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Ajay Viswanathan and Akhil Das, Real-time application Using Spark Streaming on Mesos
▶Open on YouTube ↗FunctionalTVArchivereactive.community: @BigScala: Jonas Bonér, Life Beyond the Illusion of the Present
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Chris Fregly, Spark After Dark: Generating high-quality Dating Recommendations
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Debora Donato, Developing Big Data Components for a Recommender System
▶Open on YouTube ↗FunctionalTVArchiveSBTB 2015: Jason Arhart and Marconi Lanna, Powerful and Elegant Scala one*-liners
▶Open on YouTube ↗FunctionalTVArchiveSBTB 2015: Duncan DeVore, CQRS/ES with Scala and Akka Persistence
▶Open on YouTube ↗FunctionalTVArchivesfspark.org @Trulia: Alexy Khrabrov interviews Hesam Salehian and Chul Lee of MyFitnessPal
▶Open on YouTube ↗FunctionalTVArchivesfspark.org: Chul Lee, Hesam Salehian, Getting Healthy with Spark and MyFitnessPal
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Martin Odersky, Spark -- the Ultimate Scala Collections
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Thomas Omans, Reactive Stream Processing with Kafka-Rx
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Matthew Fuchs, Map/Reduce as an Example of Programming with Categories
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Koji Sekiguchi, NLP4L: Natural Language Processing Tool for Apache Lucene
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Jieren Chen, Lambda architecture - a Blueprint for Building Big Data Systems
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Ola Wilberg, Building a Health Data platform for the Future
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Thomas Gerber, Index of all US Small and Medium Business with Scala and Spark
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Spiro Michaylov, Developing Spark SQL Integration for MongoDB
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Sameer Singh, WOLFE: A Declarative Machine Learning Stack
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Martin Zapletal, Large Volume Data Analysis on the Typesafe Reactive Platform
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Simon Chan, DASE – A Design Pattern for Machine Learning with Scala, Spray and Spark
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: David Andrzejweski, Economical Machine Learning via Functional Programming
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Romain Rigaux and Erick Tryzelaar, Interactive Spark in your Browser
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Jay Kreps, Apache Kafka and the Rise of The Stream Data Platform
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Vlad Giverts, Scalable Search with Kafka, Spark Streaming, and Elastic Search
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Marek Kolodziej, Unsupervised NLP Using Word Embeddings, Scala and Apache Spark
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Hiral Patel, Managing Kafka, the easy way, with help from Play, Akka, and Curator
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Lee Mighdoll, The Live Layer and The Lambda Architecture
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Evan Chan, FiloDB: A Reactive OLAP Database using Scala, Akka, Cassandra, and Spark
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Leah McGuire, Un-collaborative Filtering: Recommendations when Users Aren’t Helping
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Vladimir Bacvanski, Developing Big Data Applications with Scalding
▶Open on YouTube ↗FunctionalTVArchiveBDSBTB 2015: Brad Rubin, Introducing Java/Hadoop Developers to Scala/Spark