Modernizing a Hadoop Database w/ Spark, DC/OS & a read-only Cassandra database

Join John Cabaniss and the Shadow-Soft team as they provide an in-depth overview of a customer project for a top 50 retailer where they were able to design and implement an update to their query and resource management systems, enabling them to reduce the query time from their legacy Hadoop cluster by 10x. Further improvements to this architecture/roadmap which are currently being designed will be shared, determined by several competing factors: internal infrastructure dependent on the legacy design, time to develop, time to market, and customer experience. Any enterprise/company with legacy systems (or architects/developers) that are with wrestling modernization efforts, updates, or improvements to existing systems will benefit from the lessons learned through this customer success story.

Speaker: John Cabaniss has spent 20 years around emerging technology, first as a researcher at Los Alamos National Labs and GTRI, then as a founder or co-founder for various businesses in the start-up community. He brings experience in architecture and implementation of complex computing systems in both public and private sector, always with a mind towards achieving results.