Cassandra Database's guest appearances

Cassandra Database

Data Engineering Podcast

Datascape Podcast

Sudo Show

Christopher Ryan

Emily Miller

Peter Bull

Mike Roberts

Patrick Hunt

Jonathan Katz

Kevin Moore

Dan Robinson

Matthew Rocklin

Maxime Beauchemin

Jean Georges Perrin

Todd Walter

Mark Marinelli

Andy LoPresto

Joe Crobak

OwlTail

Summary The Cassandra database is one of the first open source options for globally scalable storage systems. Since its introduction in 2008 it has been powering systems at every scale. The community recently released a new major version that marks a milestone in its maturity and stability as a project and database. In this episode Ben Bromhead, CTO of Instaclustr, shares the challenges that the community has worked through, the work that went into the release, and how the stability and testing improvements are setting the stage for the future of the project. Announcements  Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show! Schema changes, missing data, and volume anomalies caused by your data sources can happen without any advanced notice if you lack visibility into your data-in-motion. That leaves DataOps reactive to data quality issues and can make your consumers lose confidence in your data. By connecting to your pipeline orchestrator like Apache Airflow and centralizing your end-to-end metadata, Databand.ai lets you identify data quality issues and their root causes from a single dashboard. With Databand.ai, you’ll know whether the data moving from your sources to your warehouse will be available, accurate, and usable when it arrives. Go to dataengineeringpodcast.com/databand to sign up for a free 30-day trial of Databand.ai and take control of your data quality today. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets &amp; code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more. Go to dataengineeringpodcast.com/atlan today and sign up for a free trial. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Your host is Tobias Macey and today I’m interviewing Ben Bromhead about the recent release of Cassandra version 4 and how it fits in the current landscape of data tools  Interview  Introduction How did you get involved in the area of data management? For anyone who isn’t familiar with Cassandra, can you briefly describe what it is and some of the story behind it? How did you get involved in the Cassandra project and how would you characterize your role?   What are the main use cases and industries where someone is likely to use Cassandra? What is notable about the version 4 release? What were some of the factors that contributed to the long delay between versions 3 and 4? (2015 – 2021) What are your thoughts on the ongoing utility/benefits of projects such as ScyllaDB, particularly in light of the most recent release?   Cassandra is primarily used as a system of record. What are some of the tools and system architectures that users turn to when building analytical workloads for data stored in Cassandra? The architecture of Cassandra has lent itself well to the cloud native ecosystem that has been growing in recent years. What do you see as the opportunities for Cassandra over the near to medium term as the cloud continues to grow in prominence? What are some of the challenges that you and the Cassandra community have faced with the flurry of new data storage and processing systems that have popped up over the past few years? What are the most interesting, innovative, or unexpected ways that you have seen Cassandra used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Cassandra? When is Cassandra the wrong choice? What is in store for the future of Cassandra?  Contact Info  LinkedIn @benbromhead on Twitter benbromhead on GitHub  Parting Question  From your perspective, what is the biggest gap in the tooling or technology for data management today?  Links  Cassandra Instaclustr HBase DynamoDB Whitepaper Property Based Testing QuickTheories Riak FoundationDB  Podcast Episode   ScyllaDB  Podcast Episode   YugabyteDB  Podcast Episode   Azure CosmoDB Amazon Keyspaces Netty Kafka CQRS == Command Query Responsibility Segregation Elasticsearch Redis Memcached Debezium  Podcast Episode   CDC == Change Data Capture  Podcast Episodes   Bigtable White Paper CockroachDB  Podcast Episode   Vitess CAP Theorem Paxos  The intro and outro music is from The Hug by The Freak Fandango Orchestra  / CC BY-SA Support Data Engineering Podcast

<h2>Summary</h2> <p>The Cassandra database is one of the first open source options for globally scalable storage systems. Since its introduction in 2008 it has been powering systems at every scale. The community recently released a new major version that marks a milestone in its maturity and stability as a project and database. In this episode Ben Bromhead, CTO of Instaclustr, shares the challenges that the community has worked through, the work that went into the release, and how the stability and testing improvements are setting the stage for the future of the project.</p> <h2>Announcements</h2> <ul> <li>Hello and welcome to the Data Engineering Podcast, the show about modern data management</li> <li>When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to <a href="https://www.dataengineeringpodcast.com/linode?utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">dataengineeringpodcast.com/linode</a> today and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show!</li> <li>Schema changes, missing data, and volume anomalies caused by your data sources can happen without any advanced notice if you lack visibility into your data-in-motion. That leaves DataOps reactive to data quality issues and can make your consumers lose confidence in your data. By connecting to your pipeline orchestrator like Apache Airflow and centralizing your end-to-end metadata, <a href="http://Databand.ai" rel="nofollow" target="_blank">Databand.ai</a> lets you identify data quality issues and their root causes from a single dashboard. With <a href="http://Databand.ai" rel="nofollow" target="_blank">Databand.ai</a>, you’ll know whether the data moving from your sources to your warehouse will be available, accurate, and usable when it arrives. Go to <a href="https://www.dataengineeringpodcast.com/databand?utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">dataengineeringpodcast.com/databand</a> to sign up for a free 30-day trial of <a href="http://Databand.ai" rel="nofollow" target="_blank">Databand.ai</a> and take control of your data quality today.</li> <li>Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets &amp; code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more. Go to <a href="https://www.dataengineeringpodcast.com/atlan?utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">dataengineeringpodcast.com/atlan</a> today and sign up for a free trial. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription</li> <li>Your host is Tobias Macey and today I’m interviewing Ben Bromhead about the recent release of Cassandra version 4 and how it fits in the current landscape of data tools</li> </ul> <h2>Interview</h2> <ul> <li>Introduction</li> <li>How did you get involved in the area of data management?</li> <li>For anyone who isn’t familiar with Cassandra, can you briefly describe what it is and some of the story behind it?<br><ul> <li>How did you get involved in the Cassandra project and how would you characterize your role?</li> </ul> </li> <li>What are the main use cases and industries where someone is likely to use Cassandra?</li> <li>What is notable about the version 4 release?<br><ul> <li>What were some of the factors that contributed to the long delay between versions 3 and 4? (2015 – 2021)</li> <li>What are your thoughts on the ongoing utility/benefits of projects such as ScyllaDB, particularly in light of the most recent release?</li> </ul> </li> <li>Cassandra is primarily used as a system of record. What are some of the tools and system architectures that users turn to when building analytical workloads for data stored in Cassandra?</li> <li>The architecture of Cassandra has lent itself well to the cloud native ecosystem that has been growing in recent years. What do you see as the opportunities for Cassandra over the near to medium term as the cloud continues to grow in prominence?</li> <li>What are some of the challenges that you and the Cassandra community have faced with the flurry of new data storage and processing systems that have popped up over the past few years?</li> <li>What are the most interesting, innovative, or unexpected ways that you have seen Cassandra used?</li> <li>What are the most interesting, unexpected, or challenging lessons that you have learned while working on Cassandra?</li> <li>When is Cassandra the wrong choice?</li> <li>What is in store for the future of Cassandra?</li> </ul> <h2>Contact Info</h2> <ul> <li><a href="https://www.linkedin.com/in/benbromhead/?originalSubdomain=nz&amp;utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">LinkedIn</a></li> <li><a href="https://twitter.com/benbromhead?lang=en&amp;utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">@benbromhead</a> on Twitter</li> <li><a href="https://github.com/benbromhead?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">benbromhead</a> on GitHub</li> </ul> <h2>Parting Question</h2> <ul> <li>From your perspective, what is the biggest gap in the tooling or technology for data management today?</li> </ul> <h2>Links</h2> <ul> <li><a href="https://cassandra.apache.org/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Cassandra</a></li> <li><a href="https://www.instaclustr.com/#?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Instaclustr</a></li> <li><a href="http://hbase.apache.org/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">HBase</a></li> <li><a href="https://www.allthingsdistributed.com/files/amazon-dynamo-sosp2007.pdf?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">DynamoDB Whitepaper</a></li> <li><a href="https://hypothesis.works/articles/what-is-property-based-testing/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Property Based Testing</a></li> <li><a href="https://github.com/quicktheories/QuickTheories?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">QuickTheories</a></li> <li><a href="https://en.wikipedia.org/wiki/Riak?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Riak</a></li> <li><a href="https://www.foundationdb.org/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">FoundationDB</a> <ul> <li><a href="https://www.dataengineeringpodcast.com/foundationdb-distributed-systems-episode-80/?utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">Podcast Episode</a></li> </ul> </li> <li><a href="https://www.scylladb.com/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">ScyllaDB</a> <ul> <li><a href="https://www.dataengineeringpodcast.com/episode-4-scylladb-with-eyal-gutkind/?utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">Podcast Episode</a></li> </ul> </li> <li><a href="https://www.yugabyte.com/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">YugabyteDB</a> <ul> <li><a href="https://www.dataengineeringpodcast.com/yugabytedb-planet-scale-sql-episode-115/?utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">Podcast Episode</a></li> </ul> </li> <li><a href="https://azure.microsoft.com/en-us/services/cosmos-db/#overview?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Azure CosmoDB</a></li> <li><a href="https://aws.amazon.com/keyspaces/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Amazon Keyspaces</a></li> <li><a href="https://netty.io/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Netty</a></li> <li><a href="https://kafka.apache.org/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Kafka</a></li> <li><a href="https://martinfowler.com/bliki/CQRS.html?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">CQRS == Command Query Responsibility Segregation</a></li> <li><a href="https://www.elastic.co/elasticsearch/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Elasticsearch</a></li> <li><a href="https://redis.io/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Redis</a></li> <li><a href="https://memcached.org/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Memcached</a></li> <li><a href="https://debezium.io/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Debezium</a> <ul> <li><a href="https://www.dataengineeringpodcast.com/debezium-change-data-capture-episode-114/?utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">Podcast Episode</a></li> </ul> </li> <li><a href="https://en.wikipedia.org/wiki/Change_data_capture?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">CDC == Change Data Capture</a> <ul> <li><a href="https://dataengineeringpodcast.com/?s=change%20data%20capture&amp;utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">Podcast Episodes</a></li> </ul> </li> <li><a href="https://research.google/pubs/pub27898/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Bigtable White Paper</a></li> <li><a href="https://www.cockroachlabs.com/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">CockroachDB</a> <ul> <li><a href="https://www.dataengineeringpodcast.com/cockroachdb-with-peter-mattis-episode-35/?utm_source=rss&amp;utm_medium=rss" rel="nofollow" target="_blank">Podcast Episode</a></li> </ul> </li> <li><a href="https://vitess.io/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Vitess</a></li> <li><a href="https://en.wikipedia.org/wiki/CAP_theorem?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">CAP Theorem</a></li> <li><a href="https://en.wikipedia.org/wiki/Paxos_(computer_science)?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">Paxos</a></li> </ul> <p>The intro and outro music is from <a href="http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">The Hug</a> by <a href="http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">The Freak Fandango Orchestra</a>  / <a href="http://creativecommons.org/licenses/by-sa/3.0/?utm_source=rss&amp;utm_medium=rss" rel="noopener nofollow" target="_blank">CC BY-SA</a></p> <p></p><p><a href="https://dataengineering.supercast.com/" rel="payment nofollow" target="_blank">Support Data Engineering Podcast</a></p>

Setting The Stage For The Next Chapter Of The Cassandra Database

Patrick McFadin

On this episode, we chat with Patrick McFadin. He is a technologist, member of the CNCF, author, and Vice President of Developer Relations at Datastax. We discuss the Cassandra Database, release 4.0, Kubernetes, and technology foundations. Eric and Brandon had way to much fun with this one! Destination Linux Network Sudo Show Website Sponsor: Bitwarden Sponsor: Digital Ocean Sudo Show Swag Contact Us: DLN Discourse Email Us! Sudo Matrix Room Apache Cassandra DataStax: What is NoSQL? Apache Cassandra 4.0 is Here DataStax Cloud Native Computing Foundation KubeCon 2021 K8ssandra Chapters 00:00  Intro 00:42  Welcome 01:56  Sponsor - Digital Ocean 03:00  Sponsor - Bitwarden 04:31  Meet Patrick McFadin 06:42  Who Is Patrick? 08:14  What Is Cassandra? 13:37  Cassandra 4.0! 17:52  DataStax Mission 26:38  What is the CNCF? 31:22  Data on Kubernetes 41:00  What's Next? 47:08  Wrap UpSpecial Guest: Patrick McFadin.Sponsored By:Digital Ocean: The Sudo Show is sponsored by our friends over at Digital Ocean. DigitalOcean recently announced their new Managed MongoDB service, which is a fully managed, database as a service. With Managed MongoDB, you can focus more on building scalable high performance apps, and less on maintaining the database. DigitalOcean built this service in partnership with MongoDB Inc. and together they have ensured that you will get access to all the latest releases of the Mongo database as they become available.  As a listener of the Sudo Show podcast and a member of the DLN Community you can get started for FREE! Actually, better than free because DigitalOcean is giving you a $100 Credit when you go to https://do.co/dln-mongo. Need more than just a database? You can use your $100 credit to try out all the amazing services Digital Ocean has to offer. Again, go to https://do.co/dln-mongo to get started with your $100 Free Credit on DigitalOcean’s new Managed MongoDB and thank you to Digital Ocean for sponsoring the Sudo Show and the entire Destination Linux Network!Bitwarden

<p>On this episode, we chat with Patrick McFadin. He is a technologist, member of the CNCF, author, and Vice President of Developer Relations at Datastax. We discuss the Cassandra Database, release 4.0, Kubernetes, and technology foundations. Eric and Brandon had way to much fun with this one!</p> <p><a href="https://destinationlinux.network" rel="nofollow" target="_blank">Destination Linux Network</a><br/> <a href="https://sudo.show" rel="nofollow" target="_blank">Sudo Show Website</a><br/> <a href="https://bitwarden.com/dln" rel="nofollow" target="_blank">Sponsor: Bitwarden</a><br/> <a href="https://do.co/dln-mongo" rel="nofollow" target="_blank">Sponsor: Digital Ocean</a><br/> <a href="https://sudo.show/swag" rel="nofollow" target="_blank">Sudo Show Swag</a></p> <p>Contact Us:<br/> <a href="https://sudo.show/discuss" rel="nofollow" target="_blank">DLN Discourse</a><br/> <a href="mailto:contact@sudo.show" rel="nofollow">Email Us!</a><br/> <a href="https://sudo.show/matrix" rel="nofollow" target="_blank">Sudo Matrix Room</a></p> <p><a href="https://cassandra.apache.org/_/index.html" rel="nofollow" target="_blank">Apache Cassandra</a><br/> <a href="https://www.datastax.com/nosql" rel="nofollow" target="_blank">DataStax: What is NoSQL?</a><br/> <a href="https://cassandra.apache.org/_/blog/Apache-Cassandra-4.0-is-Here.html" rel="nofollow" target="_blank">Apache Cassandra 4.0 is Here</a></p> <p><a href="https://www.datastax.com" rel="nofollow" target="_blank">DataStax</a></p> <p><a href="https://www.cncf.io" rel="nofollow" target="_blank">Cloud Native Computing Foundation</a><br/> <a href="https://events.linuxfoundation.org/kubecon-cloudnativecon-north-america" rel="nofollow" target="_blank">KubeCon 2021</a></p> <p><a href="https://k8ssandra.io" rel="nofollow" target="_blank">K8ssandra</a></p> <h2>Chapters</h2> <p>00:00  Intro<br/> 00:42  Welcome<br/> 01:56  Sponsor - Digital Ocean<br/> 03:00  Sponsor - Bitwarden<br/> 04:31  Meet Patrick McFadin<br/> 06:42  Who Is Patrick?<br/> 08:14  What Is Cassandra?<br/> 13:37  Cassandra 4.0!<br/> 17:52  DataStax Mission<br/> 26:38  What is the CNCF?<br/> 31:22  Data on Kubernetes<br/> 41:00  What's Next?<br/> 47:08  Wrap Up</p><p>Special Guest: Patrick McFadin.</p><p>Sponsored By:</p><ul><li><a href="https://do.co/dln-mongo" rel="nofollow" target="_blank">Digital Ocean</a>: <a href="https://do.co/dln-mongo" rel="nofollow" target="_blank">The Sudo Show is sponsored by our friends over at Digital Ocean. DigitalOcean recently announced their new Managed MongoDB service, which is a fully managed, database as a service. With Managed MongoDB, you can focus more on building scalable high performance apps, and less on maintaining the database. DigitalOcean built this service in partnership with MongoDB Inc. and together they have ensured that you will get access to all the latest releases of the Mongo database as they become available.  As a listener of the Sudo Show podcast and a member of the DLN Community you can get started for FREE! Actually, better than free because DigitalOcean is giving you a $100 Credit when you go to https://do.co/dln-mongo. Need more than just a database? You can use your $100 credit to try out all the amazing services Digital Ocean has to offer. Again, go to https://do.co/dln-mongo to get started with your $100 Free Credit on DigitalOcean’s new Managed MongoDB and thank you to Digital Ocean for sponsoring the Sudo Show and the entire Destination Linux Network!</a></li><li><a href="https://bitwarden.com/dln" rel="nofollow" target="_blank">Bitwarden</a></li></ul>

33: Cassandra Database with Patrick McFadin

In this episode, I discuss the NoSQL database, Cassandra with industry expert, John Schulz. We explore what it is, key differences from a Relational Database, use cases and tips.The show notes can be found here: https://www.pythian.com/blog/datascape-podcast-episode-5-exploring-cassandra-database/

In this episode, I discuss the NoSQL database, Cassandra with industry expert, John Schulz. <br>We explore what it is, key differences from a Relational Database, use cases and tips.<br><br>The show notes can be found here: <a href="https://www.pythian.com/blog/datascape-podcast-episode-5-exploring-cassandra-database/" rel="nofollow" target="_blank">https://www.pythian.com/blog/datascape-podcast-episode-5-exploring-cassandra-database/</a>

Episode 5 - Exploring Cassandra Database