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Friday, August 28 • 4:30pm - 5:10pm
Don’t Get Lost in Translation: Strategies for Serializing Data Structures

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The current solutions for mapping data to java objects come in many shapes and sizes, with JSON leading as the most familiar and “coolest” solution. Yes, JSON is very readable, convenient, and offers great support libraries like GSON and Jackson, but these options don’t always get the job done. Accessing and parsing serialized data is a common source of runtime inefficiency within applications, and this delay can crush your app’s overall user experience. How can you bypass this inefficiency? Google’s FlatBuffer library is the answer. FlatBuffers are similar to Google’s Protocol Buffers, but with one key differentiator: the ability to access serialized data without parsing or unpacking it first. Imagine a serialization process with no temporary objects, no additional allocation, and no copying. Join us for a deep dive into Google’s FlatBuffers library to learn more about the advantages of using FlatBuffers and what makes it different from other commonly used libraries.

avatar for Christopher Brown

Christopher Brown

Principle Mobile Engineer and Lead Developer, priceline.com
Chris Brown currently serves as Principle Mobile Engineer and Lead Developer for the priceline.com Android team. He started his career as a web application developer in Java and Adobe Flex, but quickly found himself drawn to mobile and Android development. This year, Chris and... Read More →

Friday August 28, 2015 4:30pm - 5:10pm PDT

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