Why did you use a secondary index on status and updated_at in Cassandra? How did you perform analytical queries?

In Cassandra, a secondary index on the fields status and updated_at was used to enable quick searches for records based on these attributes without the need for a full table scan. This is convenient when filtering data by status or update date.

However, secondary indexes in Cassandra are not always efficient with large volumes of data, as the index is distributed across all nodes and can lead to load.

For analytical queries, the following approaches are usually used:

• Using Materialized Views for precomputing and quickly accessing aggregated data.
• Exporting data to specialized analytical storage systems (e.g., Apache Spark, Hadoop) for complex queries.
• Creating additional tables with denormalized data optimized for specific queries.

Thus, the secondary index served for simple filters, while external tools or special data structures were used for complex analytics.