Fast and Easy Big Data Stream Processing


Details
Please join us Tuesday night, October 30th from 6:30 to 9:00 PM at the Lil' Tex conference room at the J.J. Pickle Center Commons Conference Center to hear the Senior Solutions Architect at Hazelcast, Scott McMahon, give a technical talk on using directed acyclic graph (DAG) based techniques for in-memory streaming and processing applied to big data problems.
Free Pizza and drinks will be served at 6:30 PM compliments of Hazelcast. A $50 Amazon gift card will also be raffled off to those who register at the registration table before the meeting.
Hope to see you there!
Here are the details:
Title: Fast and Easy Big Data Stream Processing
Abstract
Learn all about directed acyclic graph (DAG) and why it is so powerful for Big Data processing. We will walk you through the evolution of Big Data computing, from sequential to DAG, as well as other techniques such as SP/SC, Cooperative Multithreading, Data Locality, In-Memory sources and sinks, and WaitFree algorithms that power the third generation of Big Data processing.
This talk will also feature an introduction to Hazelcast JET, an Apache 2 licensed, DAG-based platform for in-memory streaming and fast batch processing that illustrates many of the techniques found in a third generation Big Data platform.
We will walk you through Java coding common tasks and then step it up to writing full-blown applications in less than a hundred lines of Java code, for applications such as Bitcoin, Twitter sentiment analysis, and real-time worldwide commercial aircraft monitoring.
About the Speaker: Scott McMahon
Scott McMahon is a Senior Solutions Architect at Hazelcast with over 20 years of software development and enterprise consulting experience. Before specializing in Hazelcast In-Memory Data Grid technology he built big data analytics platforms and business process management systems for many of the world’s leading corporations. He currently lives in Portland, Oregon, and when not working on computer systems, he enjoys getting outdoors and having fun with his family.


Fast and Easy Big Data Stream Processing