If you could not make it to Strata-Hadoop World 2014 in NYC you can still watch streaming video of the keynotes. To do that visit our Hadoop World video streaming page here:
Be sure to bookmark it!
Here is the schedule of keynotes:
8:45am–8:55am Thursday, 10/16/2014
Strata Program Chairs, Roger Magoulas, Doug Cutting, and Alistair Croll, welcome you to the first day of keynotes. Read more.
8:55am–9:10am Thursday, 10/16/2014
Mike Olson, CSO and Chairman, Cloudera Read more.
9:10am–9:20am Thursday, 10/16/2014
If you want to know what’s coming next in big data, just ask yourself, “what would Google do? Read more.
9:20am–9:30am Thursday, 10/16/2014
Miriah Meyer, Assistant Professor of Computer Science, University of Utah Read more.
9:30am–9:35am Thursday, 10/16/2014
This talk introduces how Intel is working with scientists and physicians to help improve research, treatment, and drug development for Parkinson’s Disease using data science and enabling the Parkinson’s research community to build upon an open platform for big data analytics. Read more.
9:35am–9:40am Thursday, 10/16/2014
Data is an evolving story. It’s not a static snapshot of a point in time insight. With data from internal and external sources constantly updating, we are evolving from rear-view mirror dashboard views into an era of interactive Storytelling. Read more.
9:40am–9:50am Thursday, 10/16/2014
Amanda Cox, Graphics Operator, The New York Times Read more.
9:50am–9:55am Thursday, 10/16/2014
Spark represents the next-step function leap in what is possible with Hadoop, but what does that mean for business analysts that are swimming in multi-structured data? This presentation discusses the new workflow required so that business analysts can work with massive volumes of multi-structured data to find new insights today, instead of continually having to wait for IT to make big data small. Read more.
9:55am–10:05am Thursday, 10/16/2014
There are two essential skills for the data scientist: engineering and statistics. A great many data scientists are very strong engineers but feel like impostors when it comes to statistics. In this talk John will argue that the ability to program a computer gives you special access to the deepest and most fundamental ideas in statistics. Read more.
10:05am–10:20am Thursday, 10/16/2014
Bob Mankoff, The New Yorker’s cartoon editor, will analyze the lessons we learn from crowdsourced humor. Along the way, he’ll explore how cartoons work (and sometimes don’t); how he makes decisions about what cartoons to include; and what crowds can tell us about a good joke. Read more.
8:45am–8:50am Friday, 10/17/2014
Strata Program Chairs, Roger Magoulas, Doug Cutting, and Alistair Croll, welcome you to the second day of keynotes. Read more.
8:50am–9:00am Friday, 10/17/2014
In this presentation Eli Collins, Cloudera’s Chief Technologist, will discuss how we might both reap the benefits of data while avoiding its perils. Read more.
9:00am–9:15am Friday, 10/17/2014
This keynote will share insights from the world’s largest repository of consumer emotions and present the challenges and opportunities that this data presents for machine learning as well as data mining and visualization.Read more.
9:15am–9:25am Friday, 10/17/2014
Joseph Sirosh, CVP, Machine Learning, Microsoft Read more.
9:25am–9:35am Friday, 10/17/2014
Karen Moon will discuss the characteristics of unstructured data that makes identifying and synthesizing fashion trends particularly challenging and how getting it right can be a competitive advantage. Read more.
9:35am–9:45am Friday, 10/17/2014
In this presentation, George L. Legendre, principal of IJP Architects and faculty at Harvard graduate School of Design, will show how the mathematical equations of pasta define the ultimate taxonomy of the genre. Read more.
9:45am–9:50am Friday, 10/17/2014
The world is a rapidly changing place, where time flies and technological innovations batter us fast and furiously. Hadoop is just nine years old; and just five years ago had nowhere near the audience, ecosystem, or impact it has now . . . Read more.
9:55am–10:05am Friday, 10/17/2014
Shankar Vedantam, NPR Science Desk, NPR Read more.
10:05am–10:10am Friday, 10/17/2014
In this session you’ll see an application that builds on in-place existing technologies like Hadoop to deliver understandable results. You’ll hear a story where analytics at rest was applied to unstructured data using a simple SQL-like development environment, a&findings were promoted to the frontier of the business to score, in real time, monetizable intent, assess reputations & more. . Read more.
10:10am–10:25am Friday, 10/17/2014
Julia Angwin discusses how much she has spent trying to protect her privacy, and raises the question of whether we want to live in a society where only the rich can buy their way out of ubiquitous surveillance. Read more.