In Data Engineer’s Lunch #46: API Calls on Node.js, we introduce some key architectural elements of node.js and demonstrate two ways to do API Calls within it. 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 #45: Apache Livy, we discussed Apache Livy, a REST API for interacting with Spark Clusters. It also helps with submitting jobs and managing Spark Contexts and cached data. 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 Apache Cassandra Lunch #75: Getting Started with DataStax Enterprise (DSE) on Docker, we discussed getting started with DataStax Enterprise on Docker, we discussed some of the applications that make up the DataStax ecosystem. In the process we pulled some Docker images of the applications we are interested in and we got into working with the DSE Search, DSE Analytics with Spark, and DSE Graph on the Docker desktop. We were able to learn about these tools and their strengths. 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 #72: Databricks and Cassandra, we discussed how we can connect Databricks 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 #70: Basics of Apache Cassandra, we discussed the basics of Apache Cassandra, we discussed why we need apache Cassandra, we also looked at some of the features of Cassandra. In the process, we were able to learn the background knowledge about Cassandra, we then went a step forward to set up a standalone Apache Cassandra. With the standalone Cassandra, we used Cassandra Query Language (CQL) to communicate and interact with the Cassandra database. 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!