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., 06/20/2019
E.g., 06/20/2019
Nov 14, 2017 • By: Jeff Carpenter

DuyHai Doan shares his advice on debugging graph traversals using the Gremlin query language, including how to identify and fix performance bottlenecks and his thoughts on the “supernode” challenge.

Nov 07, 2017 • By: Stephen Mallette, David Gilardi

David Gilardi talks with Stephen Mallette about domain specific languages for graph databases in Java, when you should use a DSL, and some of the implementation details you’ll want to know to succeed.

Oct 31, 2017 • By: Jeff Carpenter, Luke Tillman, Patrick McFadin

Patrick McFadin, Luke Tillman and Jeff Carpenter sit around the campfire telling Cassandra data modeling horror stories, dad jokes and the occasional spooky noise.

Oct 24, 2017 • By: Wei Deng, Jeff Carpenter, Luke Tillman

Wei Deng talks about the challenges involved in securing distributed databases, the latest security features in DataStax Enterprise, and recommended techniques to help you and your company stay out of the headlines.

Oct 17, 2017 • By: Jeff Carpenter

DuyHai Doan takes us inside of Apache Kudu, a data store designed to support fast access for analytics in the Hadoop ecosystem. We compare Kudu’s architecture with Apache Cassandra and discuss why effective design patterns for distributed systems show up again and again.

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.