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Strata Conference Santa Clara 2014 Part9 Final

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Strata Conference Santa Clara 2014 Part8 (AvaxHome Exclusive)

Strata Conference Santa Clara 2014 Part9 Final

English | Audio: English aac, 44100 Hz, stereo | Video: h264, 1280×720, 25.00 fps | 4.68GBBy 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.
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

Included:
166.Big Data for Big Power Smart Meters does not mean Smart Grids – Brett Sargent.mp4
167.The Last Mile Challenges and Opportunities in Data Tools – Wes McKinney.mp4
168.Are We Data Scientists or Data Janitors – Nenshad Bardoliwalla.mp4
169.Session with Ben Fry .mp4
170.Data for Good – Moderated by Jake Porway – Panelists Drew Conway, Rayid Ghani, and Elena Eneva.mp4
171.NonStop HBase – Making HBase Continuously Available for Enterprise Deployment – Jagane Sundar.mp4
172.Apache Mesos as an SDK for Building Distributed Frameworks – Paco Nathan.mp4
173.Agile Analytics – Neal Ford.mp4
174.Socializing Search. Professionally. – Sriram Sankar, and Daniel Tunkelang.mp4
175.Big Data for Better Data Centers – Krishna Raj Raja and Balaji Parimi .mp4
176.One Size Does Not Fit All Analyzing Data at Scale with AWS – Rahul Pathak.mp4
177.Making Choices What Kind of Relationship are You Seeking with Your Database – J.R. Arredondo.mp4
178.StatusWolf Creating Dashboards That Don’t Suck Using Art and Engineering – Mark Troyer.mp4
179.Real-Time Analytics with NewSQL Why Hadoop is not enough – Raj Bains.mp4
180.MLbase Distributed Machine Learning Made Easy – Ameet Talwalkar and Evan Sparks .mp4
181.Real-time Analytics with Open Source Technologies – Fangjin Yang, and Gian Merlino.mp4

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