Advanced Data Modeling on Apache Cassandra

In Part 2 of the Apache Cassandra series, the focus is on building advanced data models for successful applications using this distributed NoSQL database known for its big data scale and disaster tolerance capabilities. Key components of Cassandra's data structure include keyspaces, tables, partition keys, clustering columns, and primary keys. Data modeling in Cassandra involves understanding partitions, designing efficient data models, and utilizing Cassandra Query Language (CQL). The four objectives of the Cassandra data modeling methodology are to ensure consistency, availability, isolation, and partition tolerance. This series will continue with discussions on benchmarking your database, Storage-Attached Indexes, migrating SQL applications to NoSQL, and practical exercises.