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Tag Archives: cassandra.lunch


Airflow and Spark: Running Spark Jobs in Apache Airflow

Airflow and Spark: Running Spark Jobs in Apache Airflow

In this blog, we run and schedule Spark jobs on Apache Airflow, we built a Spark job that extracts data from an API, transforms the result JSON data, and loads the data into an S3 bucket. We have decided to run Spark and Airflow locally, and we have configured Spark and Airflow to talk together using the Airflow UI. To ensure smooth communication between Spark and S3 bucket, we have set up an S3 access point, and a dedicated AWS IAM role so that data is sent to the S3 bucket directly from our Spark application.

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Stargate and Cassandra

Apache Cassandra Lunch #87: Cassandra.api, Astra, and Stargate

In Apache Cassandra Lunch #87: Cassandra.api, Astra, and Stargate, we discussed using AstraDBs included Stargate API layer to substitute for the written Node and Python APIs in our Cassandra.api project. 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!

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Connect to Astra Using Standalone CQLSH

Apache Cassandra Lunch #77: Connect to DataStax Astra via Standalone CQLSH

In Cassandra Lunch #77, we show you how you can connect to your DataStax Astra database using standalone 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. If you would like to attend Apache Cassandra Lunch live, it is hosted every Wednesday at 12 PM EST. Register here now!

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Getting started with DataStax Enterprise presentation cover slide.

Cassandra Lunch #75: Getting Started with DataStax Enterprise (DSE) on Docker

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!

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Cover slide for Apache Cassandra presentation

Cassandra Lunch #70: Basics of Apache Cassandra

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!

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