Oreilly Strata Conference Santa Clara 2014 Part4

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Strata Conference Santa Clara 2014 Part4
English | Audio: English aac, 44100 Hz, stereo | Video: h264, 1280x720, 25.00 fps | 4.21GB
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

Included:
61.The Insight Economy - Krista Schnell
62.9 Levers for Converting Big Data and Analytics into Results - Christy Maver
63.Deploying a Data Sciences Team -- The Promise and the Pitfalls - Diane Chang
64.Sensing Best Practices - Ben Waber
65.Leveraging Value from Open Data Through Collaboration -Peter Pirnejad
66.Becoming a Learning Organization From Data Teams to Corporate Influence - Pamela Peele
67.Making Big Data Small - Baron Schwartz
68.Big Data Meets Big Infrastructure Going Underground in One Major European City - Narendra Mulani
69.The Era of Data-Powered Government - Beth Blauer
70.TripIt Uses Data to Organize Itineraries, No Matter Where You Book - Edith Harbaugh
71.Crossing the Chasm What's New, What's Not - Geoffrey Moore
72.Evolution from Apache Hadoop to the Enterprise Data Hub - Amr Awadallah
73.Collecting Massive Data via Crowdsourcing - John Schitka
74.Empowering Personalized Learning with Big Data - Ramona Pierson
75.Hadoop in 5 Minutes or Less - John Schroeder
76.People are Data Too - Farrah Bostic
77.Bringing Big Data to One Billion People - Quentin Clark
78.Small Data in Sports Little Differences that Mean Big Outcomes - David Epstein
79.The Art of Good Practice - Rodney Mullen
80.Big Data Moonshots and Ground Control - Joe Hellerstein and Tutti Taygerly
81.Data Science and Smart Systems Creating the Digital Brain - Kaushik Das
82.How Companies are Using Spark, and Where the Edge in Big Data Will Be - Matei Zaharia
83.In-Hadoop Analytics Bringing analytics to big data - Anjul Bhambhri
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