Distributed Data Show
Summary: The Distributed Data Podcast is your weekly source for the latest news and technical expertise to help you succeed in building large-scale distributed systems. Brought to you by the Developer Advocate team, we go in-depth with DataStax engineers and special guests from the broader data community. New episodes each Tuesday.
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- Artist: DataStax Developers
- Copyright: All rights reserved
Podcasts:
Jeff Carpenter (@jscarp) chats with Patrick McFadin (@PatrickMcFadin) about the joys and challenges of building distributed systems using Apache Cassandra and reveals the “Top Ten” features of DataStax Enterprise that can help address the challenges.
Solutions Engineer Sebastian Estevez (@syllogistic) shares his secrets for optimizing graph traversals using the Gremlin query language and why he’s excited about the future of DataStax Enterprise Graph.
After 20 plus years in IT and programming using relational databases, David Gilardi (@SonicDMG) started fresh into Apache Cassandra and DataStax Enterprise. David shares what he discovered about DataStax Enterprise that could have increased his productivity in previous applications. Learn David’s advice for conquering the learning curve so you can be successful with DataStax Enterprise in your applications.
Jeff Carpenter and David Gilardi talk about the essentials of a good hackathon, based on their recent experience running an event based on the KillrVideo reference application. As a bonus we share highlights from the event and some potential new feature ideas for DataStax Studio.
David Gilardi and Jeff Carpenter talk about the new Java implementation they created for the KillrVideo reference application.
David Gilardi and Jeff Carpenter talk about their plans to expand the KillrVideo reference application to demonstrate new features of DataStax Enterprise.
KillrVideo is a reference application for DataStax Enterprise. This inaugural DataStax Academy Roundtable is a brief intro into what KillrVideo is, what it provides, and who might get something out of it.
