In this blog post, we will introduce a few open-source notebooks that we can use to do SQL on Cassandra. […]
Open Source Notebooks and Cassandra: Doing SQL on Cassandra Tables Read More »
Model-selection tests are used to determine which of the two trained machine learning models performs better. The point of model
Spark and Cassandra For Machine Learning: Model Selection Tests Read More »
In this blog post, we will introduce Spark, a unified analytics engine for large-scale data processing, and discuss how to
Spark and Cassandra: Doing SQL and Joins on Cassandra Tables Read More »
In Cassandra Lunch #15, we discuss Cassandra Backup / Restoration. We discuss disaster avoidance, disaster recovery, and different tools that
Apache Cassandra Lunch #15: Cassandra Backup / Restoration Read More »
Cross-validation is a collection of methods for repeated training and testing of our machine learning models. We do it in
Spark and Cassandra For Machine Learning: Cross-Validation Read More »
In case you missed Cassandra Lunch #14, we discussed methods for finding and diagnosing issues in Cassandra clusters. Starting off
Apache Cassandra Lunch #14: Basic Log Diagnostics with ELK/FEK/BEK Read More »
