O'Reilly - Strata Conference Santa Clara 2014 Part7

Category: Tutorial


Posted on 2014-05-14, by wowebook.

Description


O'Reilly - Strata Conference Santa Clara 2014 Part7
English | Audio: English aac, 44100 Hz, stereo | Video: h264, 1280x720, 25.00 fps | 5.42 GB
By O'Reilly Media, Inc. | Publisher: O'Reilly Media | Released: March 2014
Genre: E-learning



This series is in Strata Conference Santa Clara 2014: Complete Video Compilation
The future belongs to those who understand data

Gain a clear perspective on the future of big data-and all the analytics, architectures, techniques, tools, and technologies you need to use data successfully. With this complete video compilation, you'll get a front-row seat to the keynotes, workshops, and sessions at O'Reilly's Strata Conference Santa Clara 2014.
Explore the changes big data, data science, and pervasive computing have brought to technology and business with presentations from Matei Zaharia (Databricks), David McRaney (Raycom Media), Carlos Guestrin (GraphLab), Kira Radinsky (SalesPredict), scores of other experienced data practitioners from finance, media, government, and education.
Download these videos or stream them through our HD player, and capture the knowledge offered in Strata's 7 tracks: Data Science; Data in Action; The Connected World; Design; Ethics, Privacy, and Policy; Hadoop and Beyond; and Machine Data.
Learn the latest techniques in machine learning, prediction, and technology
Discover how to build effective data teams and create a data-driven organizational culture
See real-world case studies of large-scale, innovative big data applications-complete with behind-the-scenes insights
Explore the promises and perils of an always-on and increasingly quantified society, from the reach of government to the rights of the digital persona
Learn how to convey knowledge, from designing compelling interfaces to guiding users through a complex, immersive user experience
Dive into tools that make the big data revolution possible-Hadoop, Cassandra, Storm, Spark/Shark, and Drill-and extend your data science toolkit
Harness the flood of information from the Internet of Things and learn about the tools for collecting, storing, and analyzing it all

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