Strata + Hadoop World 2016 - San Jose, California Video Compilation

Make data work, a simple phrase a mile deep, was the theme of Strata+ Hadoop San Jose 2016. The conference delivered on the theme by offering inspiration, guidance, and practical know-how from 363 experts on virtually every aspect of the big data compendium, including: Long-form tutorials on Hadoop...

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Bibliographic Details
Main Author: Strata Conference and Hadoop World (-)
Other Authors: O'Reilly Media, Inc., author (author)
Format: Video
Language:Inglés
Published: O'Reilly Media, Inc 2016.
Edition:1st edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631099106719
Description
Summary:Make data work, a simple phrase a mile deep, was the theme of Strata+ Hadoop San Jose 2016. The conference delivered on the theme by offering inspiration, guidance, and practical know-how from 363 experts on virtually every aspect of the big data compendium, including: Long-form tutorials on Hadoop operations, machine learning, visualization, and data platform architecture taught by pros at Cloudera and Silicon Valley Data Science. Skill building sessions on Python, R, Apache Spark, Kafka, Kudu, and Cassandra delivered by Hadoop specialists at Dato, Google, Continuum Analytics, and Confluent. Explorations of data innovations like Druid, NoLamda, Ground, Apache Drill, and the Azure Data Factory conducted by visionaries from Yahoo, Tuplejump, UC Berkeley AMP Lab, MapR Technologies, and Microsoft. MBA intensives on the approaches data-oriented startups and venture capitalists use to boost innovation and disrupt incumbent business models delivered by thought-leaders at Zetta Venture Partners, H2O.ai, 3D Robotics, and Orbital Insight. Download the videos or view them through our HD player. It’s a big river. All access pass to 16 keynotes, 18 tutorials, and 174 individual sessions The future of Hadoop by Doug Cutting and Mike Cafarella, cofounders of Apache Hadoop Specialized content tracks in security, finance, media, retail, transportation, and health care 51 sessions covering real time analytics; 20 on data innovations; 38 on machine learning and AI Case studies from Cigna, LinkedIn, Eventbrite, Quora, Twitter, Google, and more Plus a round of great jokes about data science by comedian Paula Poundstone
Item Description:Title and publication information from resource description page (Safari, viewed May 18, 2016).
Physical Description:1 online resource (1 video file, approximately 174 hr., 17 min.)