The Distributed Data Show

The Distributed Data Show 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 DataStax 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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E.g., 07/23/2019
Oct 10, 2017 • By: Denise Gosnell, Patrick McFadin

Denise Gosnell talks about working with Graph and why not every problem is a graph problem.

Oct 03, 2017 • By: Luke Tillman

DuyHai Doan talks about secondary indexes in Apache Cassandra, including how they work, how they are different than indexes in relational databases, the various implementations available, and when to use them.

Sep 26, 2017 • By: Luke Tillman, Jeff Carpenter

Luke Tillman talks about his dogfooding project for DataStax Academy, challenges of developing microservice applications, and how distributed tracing throughout the stack can help.

Sep 12, 2017 • By: Jeff Carpenter, Patrick McFadin

Patrick McFadin and Jeff Carpenter talk about the latest trends in data development and share their thoughts on which trends you should be following and what tech it’s time to start learning, and why Jeff looks familiar.

Sep 06, 2017 • By: Russell Spitzer, Jeff Carpenter, Patrick McFadin

DSE Analytics expert Russ Spitzer brings us up to speed on the latest developments in Apache Spark and the implications for DataStax Enterprise Analytics.

Aug 29, 2017 • By: Tanya Gallagher, Jeff Carpenter, Luke Tillman, David Gilardi, Patrick McFadin

Tanya Gallagher explains why you need a learning path for Apache Cassandra and DataStax Enterprise and gives us an inside look at how the DataStax Curriculum Engineering team stays up to speed as they maintain content like our free online courses at DataStax Academy and live, instructor-led training.

Aug 22, 2017 • By: Patrick McFadin, Jeff Carpenter, David Gilardi, Luke Tillman

DuyHai Doan (@doanduyhai) shares about his experiences supporting DataStax customers in Europe, including some of the most common misunderstandings he sees regarding configuring Apache Cassandra and DataStax Enterprise clusters for high availability.

Aug 15, 2017 • By: Bob Briody, Jeff Carpenter, Luke Tillman, David Gilardi, Patrick McFadin

Bob Briody (@bobbriody) explains the origins and capabilities of DataStax Studio, a powerful developer enablement tool for querying and visualizing both graph (Gremlin) and CQL data. Join us to learn about the most underrated feature of Studio and some hints on new features the Studio team has in the works.

Aug 08, 2017 • By: Jeff Carpenter, Patrick McFadin

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.

Aug 01, 2017 • By: Sebastian Estevez, Patrick McFadin, Jeff Carpenter, Luke Tillman, David Gilardi

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.