June 2016
Beginner to intermediate
103h 45m
English
conference
Strata + Hadoop World 2016 - London, United Kingdom: Video Compilation
by O'Reilly Media, Inc.
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
Sold out Strata+Hadoop London 2016 is a tour through the giant city of data led by guides expert in knowing just where to go. There is a lot to see in this video compilation that shows you every bit: 211 speakers, 108 sessions, 20 keynotes and 14 tutorials. Start your trip with a long-form tutorial exploring data territory such as: An 8-hour deep dive into all phases of managing Hadoop clusters; an 8-hour excursion through the hardcore data science world of data management, machine learning, natural language processing, crowd-sourcing, and algorithm design; an 8-hour Spark camp on all things Apache; or 3½-hour tours on D3 data visualizations, artificial intelligence, optimizing workflow in R, and more. Want something shorter? Try visiting a mind-blowing conference session (30-40 minutes each) on topics ranging from H20 and TensorFlow to e-commerce A/B testing, predictive analysis, and natural language processing. Not interested? How about streaming analytics at 300 billion events per day with Kafka, Samza, and Druid or using Spark and Hadoop in high-speed trading environments? It’s a travelogue of data wonders with something for everyone.
- Gain front row access to all 211 speakers, 108 sessions, 20 keynotes, and 14 tutorials
- Download the videos or view them through O'Reilly's HD player
- Hear from big data experts at Intel, deepsense.io, IBM, Google, Terradata, and more
- Watch Cloudera’s Doug Cutting and Tom White predict the future of Apache Hadoop
- Learn about Spark, Kafka Streams, Kudu, Kappa, Drill, Heron, Flink, Eagle, and NiFi
- Be inspired by data innovations in cancer research, epilepsy monitoring, and mine field clearing
- Explore Scotland's Data Lab, the Danish Agency for Digitstation, and the ethics of data processing
- Hear about big data use at LinkedIn, Intuit, Uber, Etsy, HPE, Docker, Facebook, and Microsoft
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