Financial Data Analytics with Hadoop
Hadoop based applications are becoming critical in the financial services arena for the analysis and correlation of large volumes of structured and unstructured data. In addition, the Dodd-Frank Act signifies the largest US financial regulatory change in several decades and requires much greater transparency on financial data. In this session, we will answer common questions and demonstrate use cases in how Hadoop and Datameer help with asset management and risk management, fraud detection and data security.
Leave this session knowing about:
- Financial data and Hadoop. What data lends itself to Hadoop? What doesn't?
- Benchmarks from real-world uses of Hadoop in finance
- How to effectively migrate, manage, and analyze financial data using Hadoop
Bio: Adam Gugliciello, a 15-year veteran in Software Engineering and Systems Architecture specializes in highly available, parallel systems. Most recently he has been developing grid computing solutions to enable deep analyses and intelligence gathering on huge software systems for technical debt and functional mapping. Adam is a Solution Engineer at Datameer and helps bring Financial and Telco applications expertise to the utilization of the Datameer business intelligence suite.