Platforms and Analytics to Address the Big Data Challenge -- Webcast
CLICK HERE to listen to the archived webcast
It goes without saying that buy-side and sell-side firms have had to come to terms with dealing with mounting data volumes, greater data varieties, and increased data velocity on a daily basis. Naturally, these trends have a significant knock-on effect for financial services firms, not only in terms of managing and storing that data, but more importantly, deriving value from it. But aside from the various technologies that firms can implement to support their Big Data initiatives, they still need to develop a feasible and coherent Big Data road map, which, even for the most battle hardened participants, is a significant technology, time and financial challenge.
-- What are the specific business applications for Big Data across the buy side and sell side and how are analytics helping organizations process, store and manage data more effectively both historically and in real time?
-- Which business processes are most affected by the continued growth of data volumes, in addition to its complexity and variety of sources?
-- How do firms go about planning and implementing a solid, pragmatic Big Data strategy? What do they tend to overlook when embarking on such projects?
-- What are the technology and operational challenges that need to be considered when dealing with Big Data? What technologies are available to firms looking to address this Big Data challenge?
-- Are there existing technologies-cloud computing, for example-that can be deployed in a complementary fashion alongside specific Big Data technologies to help alleviate the Big Data burden?
Speakers:
* Alasdair Anderson, Global Head of Architecture, HSBC BANK
* Gary Bhattacharjee, Executive Director, Enterprise Information Management at MORGAN STANLEY
* Patrick Angeles, Director, Field Technical Services, CLOUDERA
* Peter Simpson, SVP R&D, Data Visualization, DATAWATCH
* Moderator: Victor Anderson, Editor-in-Chief, WATERSTECHNOLOGY
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