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Category Archives: Events


Apache Cassandra Lunch #86: DataStax Astra Terraform Provider

In Cassandra Lunch #86, we discuss the DataStax Astra Terraform Provider and discuss how it can be used to manage DataStax Astra infrastructure! The live recording of Cassandra Lunch, which includes a more in-depth discussion and a demo, is embedded below in case you were not able to attend live. Subscribe to our YouTube Channel to keep up to date; as well as, watch Cassandra Lunches live at 12 PM EST on Thursdays!

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Apache Cassandra Lunch #83: Aiven Managed Cassandra

In Cassandra Lunch #83, we introduce Aiven’s Managed Cassandra offering and show how we can connect to Aiven with Node.js and CQLSH! The live recording of Cassandra Lunch, which includes a more in-depth discussion and a demo, is embedded below in case you were not able to attend live. Subscribe to our YouTube Channel to keep up to date; as well as, watch Cassandra Lunches live at 12 PM EST on Thursdays!

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Data Engineer’s Lunch #59: Spark Tasks and Distribution

In Data Engineer’s Lunch #59: Spark Tasks and Distribution, we discussed using a machine learning example to investigate the way that Spark distributes work between nodes. . The live recording of the Data Engineer’s Lunch, which includes a more in-depth discussion, is also embedded below in case you were not able to attend live. If you would like to attend a Data Engineer’s Lunch live, it is hosted every Monday at noon EST. Register here now!

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Using Uber Cadence and Cassandra for workflow Orchestration

Using Cadence and Cassandra for workflow Orchestration

In this blog, we discuss workflow orchestration using Cadence and Cassandra. We went through the problems that Cadence workflows help to solve in microservices developments. Also, we looked at the way Cadence is designed that allows us to solve these types of problems. Interestingly, we went a step forward by setting up Cadence locally using Docker images, and we created a simple Cadence workflow to show how Cadence works.

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Data Engineer’s Lunch #54: dbt and Spark

In Data Engineer’s Lunch #54: dbt and Spark, we discussed the data build tool, a tool for managing data transformations with config files rather than code. We connected it to Apache Spark and used it to perform transformations. The live recording of the Data Engineer’s Lunch, which includes a more in-depth discussion, is also embedded below in case you were not able to attend live. If you would like to attend a Data Engineer’s Lunch live, it is hosted every Monday at noon EST. Register here now!

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