SQL Server/Azure SQL Ledger in 300 Seconds
Proposed session for SQLBits 2026TL; DR
What if someone changed your data—and you couldn’t prove it?
For regulated industries, that’s a nightmare scenario. In this 5-minute lightning sprint, we’ll end the “he-said, she-said” of data integrity. Watch a live demo of SQL Server / Azure SQL DB Ledger catching an unauthorised update red-handed.
Discover how to achieve blockchain-level trust and cryptographic proof of integrity—without the complexity of a blockchain—using the SQL tools you already know.
Session Details
How do you prove that your data hasn't been tampered with—even by someone with sysadmin privileges? Traditional auditing tells you who changed something, but it doesn't prove the current state of the data is valid.
In this high-speed session, we tackle the ultimate trust challenge using SQL Server Ledger. We’ll skip the slides and go straight to the code, executing a update on a ledger-enabled table and immediately exposing it.
You’ll see how SQL Server uses cryptographic hashing to create a tamper-evident trail that is mathematically verifiable. By the end of this 5-minute blast, you’ll understand how to implement "zero-trust" at the data layer, giving your auditors the cryptographic proof they crave without the overhead of a decentralized ledger.
In this high-speed session, we tackle the ultimate trust challenge using SQL Server Ledger. We’ll skip the slides and go straight to the code, executing a update on a ledger-enabled table and immediately exposing it.
You’ll see how SQL Server uses cryptographic hashing to create a tamper-evident trail that is mathematically verifiable. By the end of this 5-minute blast, you’ll understand how to implement "zero-trust" at the data layer, giving your auditors the cryptographic proof they crave without the overhead of a decentralized ledger.
3 things you'll get out of this session
Cryptographic Proof over Audit Logs: Understand why Ledger is superior to standard triggers or Audit logs when proving data integrity to external regulators.
Instant Forensics: Learn how to query sys.ledger_table_history to instantly view the full lineage of every row, including "hidden" changes.
Blockchain Power, SQL Simplicity: Discover how to enable "tamper-evident" tables in your existing Azure SQL or SQL Server databases with minimal code changes.
Speakers
Manish Kumar's other proposed sessions for 2026
AI Fundamentals for SQL and Data Professionals: Your First Step to AI-900 Certification - 2026
Data Modernisation with Open Standards: Apache Iceberg in Fabric, Databricks and Snowflake - 2026
GenBI - A new world where AI meets BI - 2026
SQL in Fabric - Isn't it confusing? - 2026
From Dashboards to Conversations: How Fabric Data Agents and Copilot Studio Transform Analytics - 2026
SQL Server 2025: AI, Vectors, and Beyond – What’s New and Why It Matters - 2026
AI and Your Data Platform: Preparing Data for Intelligent Decision-Making with Microsoft Cloud - 2026
From Metadata to Momentum: Accelerating Self-Service Analytics with Microsoft Fabric and Purview - 2026
From T-SQL to Lakehouse: A SQL Server Professional’s Guide to Microsoft Fabric - 2026
From Zero to Governed : Implementing Microsoft Purview with Fabric and Azure SQL - 2026
From Zero to Governed : Implementing Microsoft Purview with Fabric and Azure SQL - Part 2 - 2026
Open Source Databases for Azure SQL Database Professionals: What Transfers, What Changes - 2026
Azure SQL PaaS service - Basic to advance - 2026
SQL Server 2025 vs Azure SQL PaaS: Modern Data Architecture Without the Confusion - 2026
Data Quality in Microsoft Purview: From 'Gut Feeling' to Governed Trust - 2026
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Haider Raza
Haider Raza's other proposed sessions for 2026
AI Fundamentals for SQL and Data Professionals: Your First Step to AI-900 Certification - 2026
Data Modernisation with Open Standards: Apache Iceberg in Fabric, Databricks and Snowflake - 2026
GenBI - A new world where AI meets BI - 2026
SQL in Fabric - Isn't it confusing? - 2026
From Dashboards to Conversations: How Fabric Data Agents and Copilot Studio Transform Analytics - 2026
SQL Server 2025: AI, Vectors, and Beyond – What’s New and Why It Matters - 2026
AI and Your Data Platform: Preparing Data for Intelligent Decision-Making with Microsoft Cloud - 2026
From Metadata to Momentum: Accelerating Self-Service Analytics with Microsoft Fabric and Purview - 2026
From T-SQL to Lakehouse: A SQL Server Professional’s Guide to Microsoft Fabric - 2026
From Zero to Governed : Implementing Microsoft Purview with Fabric and Azure SQL - 2026
From Zero to Governed : Implementing Microsoft Purview with Fabric and Azure SQL - Part 2 - 2026
Open Source Databases for Azure SQL Database Professionals: What Transfers, What Changes - 2026
Azure SQL PaaS service - Basic to advance - 2026
SQL Server 2025 vs Azure SQL PaaS: Modern Data Architecture Without the Confusion - 2026
Data Quality in Microsoft Purview: From 'Gut Feeling' to Governed Trust - 2026
Native Regex in T-SQL: Modernizing String Logic from Ground to Cloud - 2026