In Cassandra Lunch #18, we have our guest speaker, Ryan Quey, a full stack data engineer, who specializes in managing and manipulating data at scale and integrating that into apps, from front to back. Ryan discusses a personal project he has been working on called java-podcast-processor, which is a tool to find podcast metadata over an external API, store them, get their RSS feeds, and run ETL using Airflow, Kafka, Spark, and Cassandra. The particular Cassandra distribution used is Elassandra, which allows seamless integration with Elasticsearch. The data is also displayed using a Gatsby app and served using Flask.
Accompanying Blog: https://blog.anant.us/cassandra-lunch...
The Github repository for java-podcast-processor:
https://github.com/RyanQuey/java-podc...
Ryan can be reached at:
LinkedIn:
/ ryan-quey
Github:
https://github.com/RyanQuey
Website:
https://www.ryanquey.com/
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