~/conference

SQL Server Virtual Conference 2021

database administrators, cloud database engineers, sql developers, devops engineers, database architects, data platform engineers, automation engineers

Azure SQL business continuity; automated backups and retention; Active geo-replication; Azure DevOps pipelines for databases; tSQLt unit tests; Accelerated Database Recovery; in-memory tempdb metadata; Query Store and automatic tuning; memory grant feedback; scalar UDF inlining; dbatools and dbachecks automation; Extended Events workload capture

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Azure SQL Database Business Continuity During DisasterTaiob Ali46m
Real procedures and numbers: automated backups give point-in-time: 7→35 days by SKU, long‑term retention can store backups up to 10 years, and built‑in HADR…
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Bringing DevOps to the DatabaseSteve Jones50m
Claims that databases can be builds tests and releases like app code by putting DDL/DML into Git, running Azure DevOps pipelines for CI, using tSQLt unit tests…
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Performance Improvements in SQL Server 2019Frank Gill49m
SQL Server 2019 introduces Accelerated Database Recovery and a persistent version store that cut rollback time dramatically — a 100k-row delete goes from ~31…
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How to use Geospatial Data in SQL ServerHasan Savran44m
Shows how to store and query spatial types in SQL Server 2016/2017, demonstrating geometry vs geography with SRID choices and why SRID 4326 matters for correct…
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A Rocket Scientist Perspective on Index Column SelectionMike Byrd46m
Walks through hands-on demos against AdventureWorks2017 big using provided scripts and execution plans to prove index column order matters: a 26 MB…
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SQL Server Configuration with dbatools & dbachecksTracy Boggiano36m
Shows how to automate SQL Server configuration using PowerShell with the dbatools module and validate settings with dbachecks to PowerBI. Demonstrates…
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Improving Performance with Intelligent Query ProcessingJohn Morehouse44m
Demonstrates specific toggles and metrics: enable lightweight profiling (trace flag 7412 on 2017 or DB scoped configs on 2019 compat level 150) and see real…
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Modern T SQL for Better PerformanceKathi Kellenberger49m
Shows specific replacements for common slow patterns: use LAG/LEAD window functions instead of self-joins or APPLY to compare adjacent rows (700k rows runs in…
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Performance Features in SQL Server and Azure SQLJavier Villegas49m
Covers concrete features and demos: Query Store captures plans and execution stats inside the user database so regressions can be identified, a stored…
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Benchmarking in the cloudGianluca Sartori44m
Shows how to capture a production workload despite PaaS limits (no traces on local disk) using Extended Events and WorkloadTools to analyze and replay against…
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Data Replication Options for Azure SQL PaaS ServicesMara Steiu26m
Overview of concrete replication options and limits: SQL Data Sync uses DML triggers and a hub-and-member model to provide bi-directional synchronization with…
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Developer Best Practices for Azure SQL : Avoiding common pitfalls when using the Cloud DatabaseDavide Mauri50m
Covers concrete fixes and demos: implement retry logic and microsoft.data.sqlclient auto-reconnect for transient disconnects, prefer opening connections only…
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SQL Projects for Database DevelopmentDrew Skwiers-Koballa45m
Extension added September 2020 brings Azure Data Studio SQL Database Projects to Windows Mac and Linux and uses the .NET Core SDK to build a dacpac that…
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Executable Troubleshooting Guides with Notebooks for SQL PeopleJulie Koesmarno, Aaron Nelson45m
Executable troubleshooting guides use Azure Data Studio notebooks to run real diagnostics and capture results: a ready bp_check notebook contains ~30 queries…
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SQL Server ContainersBob Ward46m
Explains running SQL Server Linux images with Docker and Dockerfile custom images, shows copying a .bak into /var/opt/mssql, restoring inside the container and…
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Understanding Statistics in SQL ServerErin Stellato47m
Explains how SQL Server uses column and index statistics to drive cardinality estimates, shows DBCC SHOW_STATISTICS output (header, density vector, histogram)…
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SQL Server 2019 Big Data Clusters ArchitectureBuck Woody43m
Explains how SQL Server 2019 Big Data Clusters actually run as containerized SQL Server instances and Spark pods on Kubernetes, with a control plane, config…
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Performance Tuning, Getting the Biggest Bang for Your BuckMonica Rathbun43m
Checklist of concrete fixes and measured wins: set Windows to High Performance power plan (avoids ~30% CPU loss), remove unused SQL services, apply CUs (e.g…
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Using WSL2 for the Database Development PlatformCarlos Lopez50m
Shows how to run Docker on WSL2 with SQL Server Linux containers (2017/2019), mounting persistent volumes and using bash scripts to copy backups, then restore…
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KeynoteAsad Khan22m
Announces concrete results and road map: Azure SQL Edge runs SQL with built‑in time‑series and AI on tiny devices and enables 3M to do predictive maintenance…
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Learn Azure SQL Database through DemosAnna Hoffman43m
Live demos show Azure SQL deployed from the portal with choices: general purpose, business critical or hyperscale (supports up to 100 terabytes and up to 4…
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How to implement GDPR with SQL Server &Azure SQL DatabaseJasmin Azemović49m
Maps five GDPR articles Article 25, 30, 32, 23, 35 to concrete SQL Server and Azure SQL Database controls and shows live configurations: enables Always…
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MS SQL New functions, syntaxes, tips & tricksDamir Matešić48m
Lists actual new T-SQL features: STRING_SPLIT single-char only (preserves empty fragments, beats XML splitter in tests: ~31ms vs ~60ms and far fewer logical…
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My romantic relation with Powershell generally and DBATools especiallyMagnus Ahlkvist44m
Live demo shows using the DBATools module and PowerShell to provision two Docker SQL Server 2019 instances (sql1, sql2), create a dba database, install Ola…
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