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Big Data, Visualization and Other Challenges in Java
Visualizing data in Java environments is critical for making better business decisions, but presents a host of challenges that require careful consideration. Security, networking, clustering, non-standard data stores, and Big Data sources are common problem areas in Java visualization. Specifically with Big Data, how do you make any sense of this huge treasure trove of unstructured and semi-structured information? With several (i.e., hierarchical or flat) methods to connect to Big Data sources, how do you choose the right way? Join us to discover the best practices and gotchas when visualizing data with Java. Learn how you can easily embed visualization and analytical functionality into your applications, all while avoiding the pitfalls.
Carter Hickman has been at Jinfonet Software for over three years in a technical role managing Global ISV and OEM relationships with partners like EMC, IBM, and Passkey. Prior to Jinfonet, he worked at Alertus Technologies who manufactures Java powered emergency notification hardware. He has been a licensed Open Water diver for 17 years, and is currently planning a cross-country trip on his Harley.
0 · January 15, 2014