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., 06/26/2019
May 22, 2018 • By: Christopher Splinter, David Gilardi

We talk with DataStax product manager for developer solutions, Chris Splinter about new DSE 6 driver features and peer into bright the future of driver development.

Driver Downloads - https://academy.datastax.com/download-drivers

Driver Docs - https://docs.datastax.com/en/developer/driver-matrix/doc/common/driverMa...

Driver Jira - https://datastax-oss.atlassian.net/projects

May 15, 2018 • By: Cedrick Lunven

Sylvain Lebresne joins host Cedric Lunven introduce NodeSync, a new approach to anti-entropy repair in DSE 6. They discuss the simplicity NodeSync brings to operational operations, improvements in performance for repair and how well it is integrated with DSE through CQL and OpsCenter.

May 08, 2018 • By: Jeff Carpenter, Brian Hess

Brian Hess joins the show to talk about what’s new with Analytics in DSE 6, especially Always-on SQL and Spark Streaming.

May 01, 2018 • By: Nick Panahi, Jeff Carpenter

Nick Panahi shares what’s new and awesome with Search in DSE 6, including what you can do with search-enabled CQL queries, the performance enhancements you can expect to see, and why configuring search just got easier.

Apr 24, 2018 • By: Jeff Carpenter

Jake Luciani takes us behind the scenes to explain how the principle of mechanical sympathy was applied to DataStax Enterprise 6 in the new Thread Per Core feature. DSE 6 is demonstrating 2x improvements in read/write latency compared to DSE 5.1 / open source Apache Cassandra.

Apr 17, 2018 • By: Robin Schumacher, Jeff Carpenter

Robin Schumacher joins the show to take us behind the scenes of the brand new DataStax Enterprise 6 release, sharing how a focus on customer value, operational simplicity and building a unified platform led to new features like Advanced Performance, NodeSync and many others.

Apr 10, 2018 • By: Jeff Carpenter, David Gilardi, Cedrick Lunven

Cedrick Lunven interviews David Gilardi and Jeff Carpenter about their recent additions to KillrVideo, a reference application for Apache Cassandra and DataStax Enterprise. David upgraded the existing search feature based on CQL to use DSE Search, while Jeff configured the desktop deployment of KillrVideo to use the official DSE Docker images.

https://killrvideo.github.io

https://www.killrvideo.com

https://academy.datastax.com/content/moving-cassandra-tables-search-data...

https://academy.datastax.com/content/success-segment-getting-started-dat...

Apr 03, 2018 • By: David Gilardi, Jeff Carpenter

Migrating from a Relational application to a Graph based application is an undertaking that takes forethought, planning and the right use case.  The challenges with taking a team used to working in a relational world and transitioning them to a distributed, eventually consistent system based on a graph are many.  In this episode we talk to Dave Bechberger who is the Chief Software for Gene By Gene which is a Bioinformatics company specializing in Genetic Genealogy. Dave will share his experience and learnings from migrating their relational application to a graph based one.

Mar 27, 2018 • By: David Gilardi, Cedrick Lunven

Feature Flags, also named Feature Toggle is a software development pattern allowing to enable and disable features within your applications at runtime. Cedrick has been working on an implementation in Java for nearly five years now. He will share his experience on succeeding to implement this patterns especially on large architecture and distributed systems.  We cover expected use cases,  underlying data model and architecture concerns.

Mar 20, 2018 • By: David Gilardi

We talk with Aaron Ploetz of Target about how they implemented Cassandra on Kubernetes, his new NoSQL book coming out soon, and becoming the points leader on Cassandra responses on Stack Overflow.