SQL Server 2025 New Dev Features AI JSON Regex OPPO FuzzyPublished 5/2026
Created by Vikas Munjal
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate |
Genre: eLearning |
Language: English |
Duration: 38 Lectures ( 4h 15m ) |
Size: 3 GB
⚡ Implement native AI Vector Search and embeddings in T-SQL queries using the new 2025 vector datatype and DiskANN distance functions.
⚡ Query and index unstructured data efficiently using SQL Server 2025's native JSON datatype instead of NVARCHAR string parsing.
⚡ Apply native Regular Expressions (REGEXP) and Fuzzy Matching algorithms like Edit Distance and Jaro-Winkler for complex data validation.
⚡ Configure Parameter Sensitive Plan Optimization (PSPO) and Optional Parameter Plan Optimization (OPPO) to stabilize query performance.
⚡ Utilize advanced text processing tools including secure BASE64 encoding/decoding and the native double pipe (||) string concatenation operator.
Requirements❗ A good working knowledge of T-SQL (writing SELECT statements, basic joins, standard data types & stored procedures).
DescriptionThis course provides a technical walkthrough of the new developer-centric features introduced in SQL Server 2025. It is designed for developers and database professionals who want to move beyond traditional T-SQL and leverage modern capabilities like AI-driven vector search, native JSON handling, advanced regular expressions, and intelligent query optimization.
This is a practical, feature-focused course. We cut through the marketing to focus on syntax, implementation, and performance impact.
What You Will Learn The curriculum is organized into four core modules covering the following technical areas
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AI & Vector Search: Integration of semantic search capabilities using the native Vector datatype. We cover embeddings with OpenAI, distance functions for similarity searching, and efficient implementation using DiskANN.
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Native JSON & Data Handling: Transitioning from legacy NVARCHAR parsing to SQL Server's new high-performance native JSON datatype, including native indexing strategies and the JSON_OBJECTAGG function.
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Regex, Text Analytics & Productivity: Implementation of native Regular Expressions (REGEXP_LIKE, REPLACE, SUBSTR, COUNT), practical usage of the || concatenation operator, Base64 encoding/decoding, and Fuzzy Matching algorithms (Edit Distance and Jaro-Winkler).
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Intelligent Query Optimization: Technical deep dive into modern engine tuning. We cover Parameter Sensitive Plan Optimization (PSPO) and Optional Parameter Plan Optimization (OPPO) to address parameter sniffing and ensure consistent query performance.
Course Goal✨ By the end of this course, you will have a clear, working knowledge of these specific SQL Server 2025 features and be prepared to implement them in your development and production environments.
Who this course is for⭐ SQL Developers looking to modernize their T-SQL codebase with 2025 features.
⭐ Database Administrators responsible for maintaining performance in environments using modern data types and AI workloads.
⭐ Software Engineers integrating SQL Server into AI-driven applications and needing to understand native vector storage and processing.
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