Log pattern

An IoT application, or a collection of applications running in an enterprise, generate abundant amount of log entries. Many of the log entries are for the human beings to read, and others are used by other applications. These log entries have all the properties of temporal data. They are processed like temporal data. They are accessed either in the same order or the reverse order of their occurrence. They are used for analytical purposes. They are used for auditing purposes. They are stored for compliance reasons. The processing of a huge amount of temporal data mandates the need to store them just like any other temporal data store. Logs can be collected in Cassandra as a sink. Since application logs have the behavior of temporal data, with the timestamp or timeuuid data types for the Valid Time or Transaction Time, logs can be effectively collected and processed in Cassandra. It is ideal to store all the most commonly needed records in one big row if possible because this will...