Mutant Monitoring System (MMS) Day 14 – Analyzing Data with Spark, Hive, and Superset

Phillip Tribble's blog post, part of a series on the Mutant Monitoring System (MMS) and ScyllaDB training, explores the use of Apache Spark, Hive, and Superset to improve data analytics and visualization capabilities for the monitoring system amid increasing mutant attacks. Apache Spark is utilized for its distributed data processing capabilities, while Hive offers an SQL interface for querying data from the ScyllaDB cluster. Superset provides a graphical web interface to visualize the data, helping Division 3 to better analyze and respond to the threat. The post details the setup process for these tools, including running necessary containers and configuring communication between Spark, Hive, and ScyllaDB. By using these technologies, Division 3 aims to enhance their data-driven decision-making to better manage and monitor mutant threats.