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Strata Conference Santa Clara 2014 Part5 (AvaxHome Exclusive)

Posted By: Max-X

Date: 4 May 2014 01:12:55

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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Included:
91.Navigating the Big Data Vendor Landscape - Edd Dumbill.mp4
92.Best Practices for Hadoop In Production - Panel Discussion Facilitated by Forrester Analyst - Mike Gualtieri.mp4
93.Thorn in the Side of Big Data Too Few Artists - Chris Re.mp4
94.10,000 The Most Dangerous Number in Sports - David Epstein.mp4
95.You're Halfway There Moving from Insight to Action - Bob Filbin.mp4
96.Building the Next Generation Data Architecture with Hadoop, Data Warehouse &amp; Data Discovery Platform - Bill Franks.mp4
97.Minority Report Meets Big Data Touch and Interactive Big Data is Here - Justin Langseth, and Eva Andreasson.mp4
98.Machine Learning for Social Change - Fernand Pajot.mp4
99.Harness Data in Real-Time with Infinite Storage - Yuvaraj Athur Raghuvir.mp4
100.You Don't Need to Boil the Big Data Ocean with Hadoop - Ben Werther, and Sanjay Mathur.mp4
101.Predictive Modeling in the Cloud with Scikit-learn and IPython - Olivier Grisel.mp4
102.Mining Student Notes in Real Time to Provide Study Guides - Perry Samson.mp4
103.Thinking with Data - Max Shron.mp4
104.Building a Data-centered Data Center for Agile Development - Justin Makeig.mp4
105.Evolving Data Governance for the Big Data Enterprise - Scott Lee and Rachel Haines.mp4
106.Making Big Data Cost Effective in a Bare Metal Cloud - Harold Hannon.mp4
107.How Evernote Does Conversion Using Hadoop Analytics - Damon Cool.mp4
108.Crowdsourcing at Locu How I Learned to Stop Worrying and Love the Crowd - Adam Marcus.mp4
109.Building a Lightweight Discovery Interface for Chinese Patents - Eric Pugh.mp4
110.Superconductor Scaling Charts with Design and GPUs - Leo Meyerovich.mp4

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