Big Data Summit

Speakers include:

David Michaels Vice President	Merv Adrian Founder	Allen Gilliland Director	Mayank Bawa CEO

Event overview:

Analytics, cloud computing, and big data management are hot topics. And there’s no place better than Silicon Valley to learn what innovations are happening. Aster Data, Amazon Web Services, Dell, Impetus and Informatica are putting together an event to discuss advancements in big data management and analytic processing. Big Data Summit will showcase some of the most innovative uses of massively parallel processing (MPP) data warehouses, advanced analytics, and enabling technologies such as MapReduce and cloud computing to provide a competitive edge for data-driven companies.

Big Data Summit Bay Area is taking place at the Westin San Francisco Airport. Register today and hear the success stories of leading companies in big data management. Presenters include:

• Merv Adrian, Founder, IT Market Strategy
• David Michaels, Vice President, Mint.com (now Intuit)
• Allen Gilliland, Director, Mobclix
• Mayank Bawa, CEO, Aster Data

Learn more about the convergence of traditional data warehousing, in-database analytics and transformations, cloud computing, and new parallel-processing approaches like MapReduce and Hadoop. See how these technologies are being used to get faster, deeper insights to big data in unique ways. Stick around for networking & lunch following the program.

Agenda:

Presentation abstracts:

Merv Adrian, Founder, IT Market Strategy
"Big Data: Everything New is Old Again" (view PDF of presentation)
It's become a truism that the volume of data is exploding, and that new content is arriving in a plethora of forms, new and old. A variety of techniques are being used in an effort to cope with the flood, some of which hearken back to the earliest days of data processing, and some which create entirely new paradigms in data management. But a preoccupation with mechanics can obscure the question of deriving - and driving - value. Much of the discussion in the past year has reflected that challenge. In this discussion about dealing with big data, as it has come to be known, we will ask the following questions:

• Store it yourself? Host it elsewhere? Move it and process, then return it?
• What are the challenges in developing analytics for Big Data?
• DB or not DB? (subcategory: SQL or NoSQL?) and a corollary:
• Where should analytics be processed? Inside or outside a DBMS?

Allen Gilliland, Director, Mobclix
"There's an App for That: Using Analytics to Monetize Mobile Adds"
As the largest mobile advertising exchange, Mobclix uses complex data sets to understand applications and target users for increased marketing lift. In this session you will learn best practices for choosing a data management platform and key considerations for deploying on cloud infrastructures like Amazon EC2. Hear the data management and processing challenges Mobclix overcame, as well as recommendations for scaling data warehousing in the cloud. Learn how Mobclix became the largest mobile ad exchange in the marketplace today by harnessing the power of deeper analytics on
big data.