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., 09/20/2019
E.g., 09/20/2019
May 07, 2019 • By: Cristina Veale, David Gilardi

David chats with Cristina about her non-traditional background breaking into the tech sector, and the journey that lies ahead as she takes on her new role of Developer Advocate at DataStax.

Apr 30, 2019 • By: David Gilardi, Christopher Splinter

We talk with Chris Splinter regarding Spring Data Cassandra, a slight change in our approach in how we talk about it, and a glimpse into the possible future improvements in the Java Driver to make it easier to use with the Spring Framework.

May 08, 2019 • By: Cedrick Lunven

Spring Boot is a powerful framework helping developers building applications fast. In this episode Franck explains us how he came to Spring in the first place and what are the good and bad sides about it.

Apr 16, 2019 • By: Cedrick Lunven

One of the most common use cases when dealing with Apache Cassandra™ are timeSeries. After introducing the concept of Time series in a few words Amanda and Cedrick will analyze why Cassandra got so much traction and detail what we see at customers, what are the pitfalls and what are today’s challenges.

Apr 09, 2019 • By: Cedrick Lunven

The new 2.0 version of the DataStax Java Driver introduced some new patterns for accessing your data : reactive programming. In this episode, Alexandre explains the reactive APIs available in the new driver and the "sweetspots" for when to use them.

Apr 02, 2019 • By: Jeff Carpenter

DataStax Engineer Alexandre Dutra gives us a tour of the new DataStax Java Driver 4.0 and offers some tips for a smooth migration for your Java app.

Apr 02, 2019 • By: Eric Zietlow, Jeff Carpenter

Cassandra is a highly available, partition-tolerant database. In the modern world, what happens when you need strong consistency but still require the unique partition tolerance that Cassandra provides. Enter the Lightweight transaction to provide ACID like transactions in distributed Cassandra workloads.

Mar 12, 2019 • By: Jeff Carpenter

Amanda and Jeff talk about their latest project: implementing the microservice layer of KillRVideo in Python. They talk about what was easy, what was not too easy, and what was just plain fun. They spend some time on discussing recommendations engines and ask the audience should they implement this in DSE graph  or using PySpark or other python package? Comment below! 

May 08, 2019 • By: Denise Gosnell

Denise Gosnell interviews Dave Bechberger live at Data Day Texas regarding challenges when developing Graph based applications, recommendations on approaches to take, and what resources are available for developers new to Graph.