Abhiman Tiwari

abhimantiwari.github.io

Abhiman Tiwari is a Senior Product Manager on the Azure SQL team at Microsoft, primarily focusing on developer experience with Azure SQL DB. In his previous roles, he has worked as a Web Developer/ Tech-lead, developed several software applications/ products majorly in .NET and related technologies, and done a lot of .NET debugging, reverse engineering, and web application performance tuning.

Proposed Sessions for 2026

Beyond LIKE: Regex & Fuzzy Matching for Advanced Pattern Matching in Azure SQL & SQL Server 2025

Modern apps need smarter text handling. This session dives into native Regex and Fuzzy Matching in Azure SQL, SQL DB in Fabric and SQL Server 2025—using REGEXP_LIKE, REGEXP_REPLACE, REGEXP_SUBSTR, and fuzzy algorithms to validate, extract, cleanse, and handle typo‑tolerant scenarios. Includes real demos and performance tips.

From FOR JSON to Native JSON: Build Faster Apps with Native JSON in SQL

JSON powers APIs, events, and configs. Azure SQL and SQL Server let you keep relational and JSON data together and work with payloads cleanly. Learn patterns to ingest, validate, query, transform, index, and model JSON—handling arrays, drift, and API sync with fast, maintainable T‑SQL.

Regex Deep Dive in SQL: From SQLCLR Assemblies to First‑Class T‑SQL

Regex—one of the longest‑requested features in SQL—is now native and POSIX‑compliant in T‑SQL. This session shows how to migrate SQLCLR and app‑level regex into REGEXP functions, map validation/extraction patterns, handle edge cases, and apply performance tips to modernize text pipelines.

Top New T‑SQL Features in SQL Server 2025 Every Developer Should Know

Text‑heavy workloads power search, sign‑ups, telemetry, and cleanup—and SQL Server 2025 brings huge upgrades to handle them. Learn how to replace app‑side regex and SQLCLR code with native REGEXP functions, apply Fuzzy Matching (Damerau–Levenshtein / Jaro‑Winkler) for dedupe and entity resolution, and use modern T‑SQL utilities like UNISTR, ANSI ||, SUBSTRING(), BASE64, PRODUCT(), and BIGINT‑safe DATEADD.

Previous Sessions

JSON - a first class citizen in Azure SQL DB

In this session, you will learn new T-SQL features in Azure SQL Database and SQL Server. We’ll explore how Azure SQL DB treats JSON as a first-class data type, enabling seamless data exchange between applications and databases. Attendees will learn about the benefits of using JSON in Azure SQL DB, including its flexibility, scalability, and ease of use. We’ll also demonstrate how to query JSON data using SQL, providing a powerful tool for data manipulation and retrieval. Join us to discover how JSON and Azure SQL DB can work together to enhance your data management capabilities. You will get a sneak peek to other upcoming key features and improvements around T-SQL string operations too!