E.g., 11/15/2018

E.g., 11/15/2018

Episode 43
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.

Episode 42
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...

Episode 41
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.

Episode 40
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.

Episode 39
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.

Episode 38
Mar 13, 2018 • By: David Gilardi

David Gilardi talks with Holden Karau of Google to mine many wonderful nuggets on the future of Spark and find out what might happen if she had a magic wand of awesomeness.

Episode 37
Mar 05, 2018 • By: Jeff Carpenter

We talk with Dikang Gu about Instagram’s experience migrating from Apache Cassandra 2.2 to 3.0 and using Rocks DB as a pluggable storage engine for Cassandra.

Episode 36
Feb 27, 2018 • By: Denise Gosnell, David Gilardi

We talk with Dr. Denise Gosnell, graph consultant at DataStax about creative applications of graph technology, TOTAL DOMINATION, and some surprising use cases.

Episode 35
Feb 20, 2018 • By: Jeff Carpenter

DataStax CTO Jonathan Ellis compares the tradeoffs, strengths, and weaknesses of Apache Cassandra vs. Amazon’s DynamoDB, Microsoft’s Azure Cosmos DB, and Google’s Cloud Spanner.

Episode 34
Feb 13, 2018 • By: Patrick McFadin

Patrick McFadin catches up with Holden Karau of Google to learn about new features of Spark 2.3, including Vectorized UDFs, Microbatch improvements, and Kubernetes support. Along the way, they explore whether API stability is an indicator that it’s time to make a career move.