On June 26, two dozen tech enthusiasts from around the greater San Diego area turned out in the Websense Atrium for dinner, discussion, and a couple of presentations. Pizza was provided by Alex Wenz of TechTalent, who wanted to let everyone know that his company is actively seeking Technical Subject Matter Experts to assist in their talent recruitment.
With everyone sated on food, Liam Slusser took the stage to talk about Hadoop, what it is and how he uses it. Liam has been working on large systems for 20 years, with work at Level3 Communications and SAIC. Currently he is a Systems Engineer at Slacker Radio working on their big data projects.
Before diving into Hadoop, Liam talked about the history of big data, what it is, what it’s not, and where it’s going. From there, he explained Hadoop as a framework for working with big data. Some of the tools available for the Hadoop framework are HDFS, MapReduce, Apache Pig, Hive, Impala, and HBase. Liam demonstrated several of the tools for the audience.
At Slacker Radio, Liam works with Hadoop, developing Piestack and Slacker Logger.
Following the Hadoop presentation, Jeff Makey, of the San Diego Supercomputer Center, gave a quick talk on the configuration of encryption algorithms. Jeff has audited his own servers and vetted many of the encryption algorithms available to them, and has selected eight algorithms to use. He has begun the process of updating the configuration of his various servers to accept only those eight. This prompted a good discussion about encryption algorithms and Jeff would like to document his results somewhere on the web—perhaps Wikipedia—for the world to benefit.
Unfortunately, this was our last meeting in the Websense Atrium. We are actively looking for a venue for future meetings. Suggestions are welcome, please leave them in the comments or get in touch with us on the mail list.
While nothing is lined up yet for our July meeting, we are excited to have a presentation about Docker for our August meeting. Keep an eye on our Meetup Group for updates.