MicrosoftI have learned from this article about different strategies for archiving data within a database. These strategies are independent of high availability and disaster recovery strategies. I also learned that queries on very large tables can cause performance issues, and to mitigate these potential issues, removing stale or unused data is a recommended activity. To remove data, partitioning tables and using different forms of compression can help improve performance. Additionally, creating a tiered storage structure for tables can provide some cost savings. For warm archiving, you can move specific rows to a different filegroup, which requires creating a new table with the same schema as the source table and moving data from the base table to the archive table. Finally, testing the performance impact of these strategies before implementing them in a production system is recommended since every workload will react differently to the overhead of compression/decompression.
