In Apache Cassandra Lunch #51: Cassandra Cluster Design & Architecture, we will discuss an overview of Cassandra cluster architecture, not to be confused with the Cassandra database architecture. Specifically, using Cassandra datacenters to isolate workloads. 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 Data Engineer’s Lunch #17: NoSQL Part 3: Data Store Types, we discussed the four different types of data stores that underlie NoSQL databases. 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!

In Data Engineer’s Lunch #14: NoSQL Databases Part 2 – Cap Theorem, we discuss the CAP theorem; as well as, ACID vs BASE. 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 Data Engineer’s Lunch in person, it is hosted every Monday at 12 PM EST. Register here now!

In this blog post, we will introduce Spark, a unified analytics engine for large-scale data processing, and discuss how to use it to do SQL on a NoSQL database like Cassandra. We will also give you a quick demo to show how you can quickly test it out yourself. This is Part 2 of our series on “Doing SQL and Reporting on Apache Cassandra with Open Source Tools”, and part 1 is linked below. Also, be on the lookout for Parts 3 and 4 coming soon!