Big Data Science @Strata Conference, 2015

Name: Big Data Science @Strata Conference, 2015
Start: 2015-02-17T17:30:00-08:00
End: 2015-02-17T21:00:00-08:00
Location: San Jose Convention Center, Room 210AE

Hosted By

Sanhita S.

Big Data Science @Strata Conference, 2015

Details

Attendees of this Meetup will receive a 20% discount to Strata + Hadoop World 2015 by using the link http://oreil.ly/UGSJ15 and unique code UGBDS20.

5:30 P.M. - 6:00 P.M. Networking

6:00 P.M. - 6:45 P.M. Session 1

Title: Close the Skills Gap and Deliver Rapid Business Value with Big Data Apps

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Speaker: Manan Goel, Senior Director, Big Data Marketing, Teradata

Abstract: Extracting rapid value from big data is not easy. Current skills, tools and processes make it challenging for data scientists and analytic professional to rapidly and consistently derive actionable big data insights that can be easily operationalized. Attend this session to learn how big data apps can close the skills gap and deliver self-service based, actionable big data insights for assured success.

Speaker Bio: Manan Goel is Teradata’s Senior Director of Big Data Marketing. Prior to joining Teradata, he gathered over eighteen years of marketing, product management, sales and consulting experience in business analytics and data warehousing at companies such as Oracle, Hyperion Solutions, and Brio Software. At Teradata, Manan has responsibilities for messaging, demand generation, awareness building & field enablement of Teradata’s Big Data Analytics & Discovery solutions. Manan holds a Bachelors in Electronics & Communications Engineering and a Masters Degree in Business Administration from Duke University where he was a Fuqua Scholar.

6:45 P.M. - 7:00 P.M. Q/A

7:00 P.M. - 7:45 P.M. Session 2

Title: Tips for building a Data Science Platform

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Speaker: Dr. David Chaiken, Altiscale

Speaker Bio: David Chaiken comes to Altiscale from Yahoo!, where he served as Chief Architect. At Yahoo, he led teams building consumer advertising and media systems with Apache Hadoop at their core. Over his career, David has also built voice-search products for consumers, mobile applications for enterprises, network management systems, project management software, large-scale multiprocessor architectures, a tablet computer, and several other information appliances. David earned an ScB BS in Mathematics and Chemistry from Brown University and a PhD in Electrical Engineering and Computer Science from MIT.

Abstract:

In attempting to use Hadoop-based data, data scientists face two bad options: use Hadoop indirectly by using a slow and error-prone back-and-forth with data engineers who translate your needs into data programs, or use Hadoop directly by using unfamiliar and unproductive command-line tools that are difficult to master.

Fortunately a newer breed of Hadoop-based tools is emerging which solve the dilemma. These tools allow you to build an environment for big data science which is both self-serve and productive. In this presentation, we present some concrete tips for building such an environment.

7:45 P.M. - 8:00 P.M. Q/A

8:00 P.M. - 8:30 P.M. Session 3

Title: The missing dimension to your connected data

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Speaker: Corey Lanum, Cambridge Intelligence

Abstract: We know that the connections in our data can be the key to unlock insight. The success in recent years of graph data storage and analysis tools shows that enterprises and organizations are beginning to leverage the power of the graph.

While graph analytics have become much more powerful over the years, visualizations of graph data are still limited to static stick diagrams of nodes and links. This ignores the immense insight to be gained in exploring the graph data interactively. In addition, traditional graph data visualization neglects to display the temporal aspect to graphs.

The connections in graph data are rarely static. Graphs evolve and reshape over time. Each day new connections are made, old relationships dissolve, and new groups are formed.

This talk will explain the value hidden temporal element of graph data, and explain the various ways of visualizing their evolution. We think it will change the way you see connected data forever.

Speaker Bio: Corey has a distinguished background in data analysis and visualization. Over the last 15 years he has managed technical and business relationships with dozens of the largest defense and intelligence agencies in North America, in addition to working with many security and anti-fraud organizations in private industry.

Prior to joining Cambridge Intelligence, Corey was helping the customers of i2 (now IBM) and SS8 to solve their complex graph data challenges.

8:30 P.M. - 8:35 P.M. Q/A

8:35 P.M. - 9:00 P.M. - Networking and Raffle