You can download the VirtualBox files here: https://oscon2016-friends-with-cassandra.s3.amazonaws.com/oscon2016.zip
It has everything you need on it. We will be distributing the VM during the session as well, but it's going to be fastest if you download it beforehand.
Jon Haddad and Dani Traphagen explore all the basics you’ll need to become best buds with the radically scalable, always-on, and increasingly popular Apache Cassandra database. But wait, there’s more. Jon and Dani also cover using Apache Spark for large-scale data processing. Jon and Dani get you acquainted with these technologies and give you some added resources so you can dive even deeper. You’ll be able to take home the VM on a supplied flash drive so you have access to it whenever you want to explore further. After all is said and done, you’ll walk out with some shiny new knowledge and a couple of new pals.
Jon Haddad has 15 years’ experience in both development and operations. For the last 10, he’s worked at various startups in southern California. For the last two years, he’s been the maintainer of cqlengine, the Python object mapper for Cassandra, now integrated into the native Cassandra driver. Jon is currently a technical evangelist at Datastax, where he continues to focus on advancing Cassandra in the Python, operations, and data science communities. Jon holds a degree in computer science from the University of Vermont.
Dani Traphagen is a solution architect for GridGain, where she consults on high-tech caching architectures. Previously, Dani consulted at DataStax and led technical training internationally on Apache Cassandra and DataStax Enterprise. Her passion for teaching began while working in the Electrical Engineering and Computer Science department at the University of California, Berkeley, where she taught scientists technical skills, helped create a data science course, and raised awareness about the growing open science community. Dani has since volunteered with and generated training content for a number of organizations, including software carpentry, women in technology, rOpenSci, and GitHub. Earlier in her career, Dani worked in cartilage tissue engineering at the University of California, San Francisco, where her interests for heavy machinery, science, and code fused. If you don’t catch Dani behind a computer, you’ll often see her in the wild, backpacking, riding her bike, or climbing things. She also makes sure to keep the coffee business afloat in her hometown of Hermosa Beach.
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