A Q&A video session covers a wide range of SQL Server topics submitted by viewers, including MAXDOP settings, using AI tools like Claude Code and Copilot for SQL Server work, index REBUILD vs REORGANIZE decisions, migration considerations from SQL Server 2022 to 2025, data warehouse architecture choices, and career questions like skill-building outside employer support and DBA retirement planning.
Questions this post answers
Should I use REBUILD or REORGANIZE when a table has only 10% fragmentation?
REORGANIZE is typically recommended at lower fragmentation levels like 10%, but it can take significantly longer to complete than REBUILD despite being the traditionally lighter-weight, online operation. In practice, REBUILD often finishes faster even at low fragmentation, so the choice depends on testing against the actual table size and available maintenance window rather than following the traditional fragmentation-percentage rule blindly. Compare index maintenance tradeoffs like this one on daily.dev before your next SQL Server maintenance window.
What are the migration risks when upgrading from SQL Server 2022 to SQL Server 2025?
Migration risk assessment between SQL Server 2022 and SQL Server 2025 involves reviewing product changes across versions to identify breaking changes or behavioral differences that could affect an existing workload. Teams planning this upgrade path should specifically review what changed between the two versions rather than assuming a smooth in-place upgrade, since new versions can alter defaults or deprecate features relied on by legacy code. Track SQL Server version changes on daily.dev so your migration plan doesn't miss a breaking change.
What are the pros and cons of building a SQL Server data warehouse on a VM versus using a cloud native option like Azure Synapse Analytics?
Choosing between a SQL Server VM and Azure Synapse Analytics for a data warehouse involves weighing control and familiarity against managed scalability. A VM-based SQL Server data warehouse gives full control over configuration and licensing but requires manual scaling and maintenance, while Azure Synapse Analytics offloads infrastructure management and scales more elastically for large analytical workloads at the cost of platform lock-in and a different operational model. Weigh data warehouse platform tradeoffs like this on daily.dev before committing to SQL Server VM or Synapse.