SQL Server Radio
Podcast tekijän mukaan Guy Glantser, Eitan Blumin
164 Jaksot
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Episode 173 - SQL Noir and the fate of Azure Data Studio
Julkaistiin: 10.3.2025 -
Episode 172 - Between SQL Squid Games and SSMS
Julkaistiin: 10.2.2025 -
Episode 171 - Clueless about SQL Server 2025
Julkaistiin: 13.1.2025 -
Episode 170 - Interesting topics from PASS 2023 sessions
Julkaistiin: 9.12.2024 -
Episode 169 - Resumable Incremental Database Integrity Checks
Julkaistiin: 11.11.2024 -
Episode 168 - New data types in SQL Server and a question about index fragmentation
Julkaistiin: 14.10.2024 -
Episode 167 - Let's Troubleshoot SQL AG Synchronization Latency
Julkaistiin: 9.9.2024 -
Episode 166 - DR Planning for SQL Server and Loading Large CSV Files
Julkaistiin: 12.8.2024 -
Episode 165 - News in Azure SQL and Woes of Excel
Julkaistiin: 8.7.2024 -
Episode 164 - The Good the Bad and the Ugly Transactional Replication
Julkaistiin: 10.6.2024 -
Episode 163 - When and Why to HADR
Julkaistiin: 13.5.2024 -
Episode 162 - Backups and Recovery, RTO, RPO, and RCO
Julkaistiin: 8.4.2024 -
Episode 161 - EXCLUSIVE: Announcing the Biggest Innovation for Azure SQL Managed Instances (Codename: Hermes)
Julkaistiin: 21.3.2024 -
Episode 160 - OPTION RECOMPILE and the magical Turbo button
Julkaistiin: 12.2.2024 -
Episode 159 - Select * Wastes Money
Julkaistiin: 8.1.2024 -
Episode 158 - Reverse Engineering Table Relations based on SQL Plans
Julkaistiin: 11.12.2023 -
No episode this month
Julkaistiin: 15.11.2023 -
Episode 157 - Let's Talk Some Hardcore SQL Server
Julkaistiin: 9.10.2023 -
Episode 156 - Back to School with Encryption as a Tool
Julkaistiin: 11.9.2023 -
Episode 155 - Kevin Chant
Julkaistiin: 14.8.2023
SQL Server Radio is a Podcast for SQL Server DBAs, database developers, architects, system administrators, and anyone else who is interested in the Microsoft SQL Server platform and the Microsoft data platform in general. As the data world changes, we also occasionally talk about other platforms and services like Azure and Amazon cloud services, Elastic Search, Hadoop, MongoDB, Machine Learning, and much more.
