October 30, 2018

Patrick McFadin talks with “Cassandra Archaeologist” Carlos Rolo of Pythian about best practices for upgrades in Apache Cassandra clusters.

October 23, 2018

Dave Bechberger returns to the show to discuss what you should be thinking about when adding graph databases to legacy applications, and to take us to school on being production ready.

October 16, 2018

In this episode Adron speaks with Jim Hatcher, and Jim tells us all about graph frames, fraud detection, and more. We also talk about some additional use cases and other interesting topics around where the industry is moving in regards to graph,...

October 11, 2018

Jonathan Lacefield is working on efforts with DataStax Enterprise Graph, and today Adron speaks with him about graph while at San Francisco Graph Day 2018! We delve into super nodes and adjacency lists to start with. But eventually we move from...

October 2, 2018

Jonathan Ellis recounts several attempts in the history of Apache Cassandra to coerce developers into specific behaviors around issues such as sequential scans, tombstones, and joins. We discuss why these attempts didn’t work, and how to respond...

September 25, 2018

Amanda sits down with Dr. Denise Gosnell at Graph Day to discuss highlights from her keynote.

September 18, 2018

David talks with Jim Hatcher and Jeremy Hanna about use cases for fraud detection, how the landscape has changed over time, learns what fraudsters are, and how graph databases are perfect to fit the need for modern requirements.

September 16, 2018

Cassandra-stress is great for stress testing your cluster for benchmarking or for load testing. In this unit, we will be showing you use cases for this nifty tool.

September 11, 2018

We talk with Josh Perryman of Expero about the current state of the art in enterprise data architectures, how he sees that changing in the future to include a broader set of database and streaming technologies, and how to deal with the resulting...

September 10, 2018

A natural language processing example using DataStax Enterprise Analytics with Apache Cassandra andApache Spark, Python, Jupyter Notebooks, Twitter API, Pattern (python package), and Sentiment Analysis

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