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In Apache Cassandra Lunch #36: Specialized Databases on Cassandra, we cover various databases that can run on top of 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!
Continue readingIn Data Engineer’s Lunch #11: MLFlow and Spark, we discussed using MLFlow, a machine learning management tool, with Apache Spark. This acts both as a continuation of a previous series on Apache Spark Companion Technologies and one of our data engineer’s lunch events. 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!
Continue readingIn 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!
Continue readingIn Data Engineer’s Lunch #10: NoSQL – Part 1, we discussed NoSQL datastores. Specifically, we discussed different types of key-value stores. 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!
Continue readingThis series 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.
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