Very Large Database Migration to Azure #8211; Recommendations . . . VLDB Migrations require do considerable skill, attention to detail and analysis For example the net impact of Table Splitting must be measured and analyzed Splitting a large table into more than 50 parallel exports may considerably decrease the time taken to Export a table, but too many Table Splits may result in drastically increased Import
Backing up a VLDB to Azure Blob Storage | Microsoft Community Hub I know we cab achieve awesome speeds from the VM <-> container, because when copying a 1 TB (compressed) backup using AzCopy, it averages at 6 Gbit with peaks reaching 10+Gbit And I really do need the parallelism in order to reach my RPO RTO goals for the VLDB's in Azure Theo
SQL Server VLDB in Azure: DBA Tasks Made Simple | Microsoft Community Hub That said, even with these limitations, managing a SQL Server VLDB in Azure can be greatly simplified if files are stored directly in blob storage, allowing the use of techniques described in this article We strongly recommend considering this option for your next project involving a SQL Server VLDB in Azure
Modernization Best Practices and Reusable Assets Blog Full Text Catalogs will hold the relevant build information for the Full Text Indexes Key Benefits in this architecture for VLDB: Provides a scalable model for growing data sizes Partitioning the base table provides better manageability and optimized performance Indexed views aligned with Partitioning Key allows quicker population of Indexed