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

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.

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

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.

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.

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.

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.