Jeff Carpenter sits down with Dr. Denise Gosnell to discuss how they work to incorporate the human element and storytelling in their writing about distributed data topics. Denise and Jeff both have books coming out with O'Reilly Media this spring: The...

David catches up with Jonathan Ellis about his DataDay Texas presentation on the predictions on the future of machine learning, the cloud, open source, hardware, and graph databases within the next 5 years.  You won't want to miss this!

Join us on this podcast as Patrick McFadin and Denise Gosnell talk about the popularity of Python and the real surge in popularity it's seeing in the past few years. Pandas, Tensor Flow and killer robots? Data Engineering is standardizing around...

Chris Splinter, Product Manager at DataStax, joins the show to share the story behind improved open source support in the DataStax Kafka Connector, the bulk loader DSBulk, and the DataStax Cassandra drivers.

Patrick McFadin and Jeff Carpenter discuss how to know when you've run out of capacity on your relational database and provide a recipe for migrating to Cassandra: 1) adapting your data model, 2) adapting your application, 3) planning your Cassandra...

Jeff sits down with Dave Bechberger to learn about his recent work on a site of curated example code for Apache Cassandra and DataStax Enterprise. Don't miss the end of the episode for our holiday thanks and plans for the new year.

Highlights:

0:00 - Welcoming graph expert and author Dave Bechberger to the show

0:43 - Dave's latest project is the http://datastax.com/examples site - a single location for examples and best practices for Apache Cassandra and DataStax Enterprise

1:35 - Many of these examples existed already, but there advantages of having a curated collection of these artifacts including searchability, consistency and quality documentation.

3:56 - Key things that tend to be missing from examples: instructions on how to run and description of the purpose.

5:10 - The examples range from small code samples of a few lines of code to full working applications with APIs.

6:55 - Favorite examples include an example of random page jumps, and using DSBulk to load data into Apollo.

8:45 - To request a new example or ask questions about examples, go to our community site at https://community.datastax.com. we hope to be able to accept community submitted features

10:25 - The examples are all maintained in the GitHub org https://github.com/datastax-examples

11:35 - Building out examples for one of Dave's languages of choice - C#!

12:25 - Many of the repos are forked from original locations to share credit to the authors. You can also see the https://anant.github.io/awesome-cassandra/ site for more community examples.

14:15 - Watch this space for more examples on future episodes

15:04 - This is our last episode of 2019. We're looking forward to catching up in 2020 with more community voices, updates on Cassandra 4, DSE, DataStax Apollo, and more.

About DataStax:

DataStax delivers the always-on, active-everywhere distributed hybrid cloud database built on Apache Cassandra™. The foundation for full data autonomy and personalized, real-time applications at scale, DataStax Enterprise makes it easy for enterprises to exploit hybrid and multi-cloud environments via a seamless data layer that eliminates the issues that typically come with deploying applications across multiple on-premises data centers and/or multiple public clouds.

We help many of the world’s leading brands across industries transform their businesses by eliminating data silos and powering modern, mission-critical applications.

For more information, visit www.DataStax.com and follow us on @DataStax.

#apachecassandra #nosql #hybridcloud

Website: www.datastax.com

LinkedIn: www.linkedin.com/company/datastax

Twitter: www.twitter.com/datastax

Facebook: www.facebook.com/datastax

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