data operations with spark and cassandra

Apache Cassandra Lunch #35: Data Operations with Spark and Cassandra

In Apache Cassandra Lunch #35: Data Operations with Spark and Cassandra, we cover some basic data operations that you can do with Apache Spark and Cassandra. 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. If you would like to attend Apache Cassandra Lunch live, it is hosted every Wednesday at 12 PM EST. Register here now!

In Apache Cassandra Lunch #35: Spark and Cassandra, we cover a few different data operations, which include: using Spark to take data from one Cassandra table, transforming it, and writing it into another Cassandra table, and deleting data from Cassandra tables using Spark. We also discuss how to delete data using another method, which can be found in the resources section below. In the live recording of Cassandra Lunch #35 embedded below, we have a live demo where we show you how to use local Apache Spark with dockerized Apache Cassandra to do these data operations. If you want written instructions for the demo, they are outlined in this blog post.

Also, check out this blog for a series that will outline the general approaches for data operations in business-critical environments that leverage Cassandra and must maintain high-availability in an agile development and continuous delivery environment. 

If you missed last week’s Apache Cassandra Lunch #34: Liquibase and Cassandra, don’t forget to check it out as well! If you want to attend Cassandra Lunch live every Wednesday at 12 PM EST, then you can register here now! Additionally, the playlist with all the previously recorded Cassandra Lunches is available here.



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