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., 04/26/2019
E.g., 04/26/2019
Apr 16, 2019 • By: Amanda Moran, 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 16, 2019 • By: Amanda Moran, 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 Alice 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 Moran

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! 

Feb 26, 2019 • By: Jeff Carpenter

Description - Jeff and Tim talk about the most common questions developers have about Kafka and three great ways to combine Kafka with Cassandra in your applications.

 

Feb 20, 2019 • By: Patrick McFadin

Patrick talks with Holden Karau, Developer Advocate at Google, about ways to incorporate Spark in your application without impacting performance or having to learn Scala.

Feb 12, 2019 • By: Amanda Moran, Jeff Carpenter

Jeff Carpenter and Amanda Moran discuss the big questions the DataStax Developer Advocate team hears most frequently from our developer community, and introduce a series of episodes to answer questions about application development.



Join us at DataStax Accelerate learn how Apache Cassandra and DataStax can help you succeed to building large scale applications. For tickets go to datastax.com/accelerate and use discount code ADVOCATE20.