
Master optimized entity framework queries in dotnet core to build high performance, production ready applications, handling databases with over 1 million records through benchmarks and best practices.
Compare enumerable and IQueryable in dotnet entity framework core and demonstrate how translating queries to SQL runs on the database, reducing memory usage and improving performance.
Learn how to fix the n plus one query problem in Entity Framework by using eager loading with include, delivering a single query and improved performance.
Compare tracking and no-tracking for read-only queries in entity framework to assess performance and memory impact on over 1 million records, highlighting how no-tracking improves read-heavy workloads.
Compare fetch-all-and-filter-in-memory with filter-at-database-level patterns on a 1 million record sales table using Entity Framework to show performance and memory gains from database filtering.
Explore how Entity Framework Core interceptors act as query middlewares to inspect, log, enforce security and auditing, and monitor performance with long-running SQL query logging in PostgreSQL.
Explore asynchronous queries in Entity Framework Core to free threads and enable non-blocking database operations, improving performance for web APIs and background tasks.
Learn how batching queries for bulk inserts and updates in Entity Framework Core reduces database calls by using AddRange to group records into a batch, boosting performance for large datasets.
Explore how indexes speed up database queries by avoiding full table scans, using binary tree or hash structures, boosting performance on a million-record sales table with an order date index.
Compare fetching all fields versus projected fields in large datasets, and learn that projections boost query speed at the cost of higher memory usage, guiding optimization decisions.
"Mastering Optimized EF Queries in .NET Core" is a comprehensive course designed to transform the way you work with databases in your .NET applications. By diving deep into the advanced capabilities of Entity Framework Core, you'll learn how to write high-performance, optimized queries that make your applications faster, more efficient, and scalable.
This course goes beyond the basics of EF Core and focuses on solving real-world performance challenges. You'll explore best practices, common pitfalls, and advanced techniques for fine-tuning queries, reducing database load, and achieving faster response times. Whether you're working on high-traffic applications, data-heavy systems, or just want to level up your .NET skills, this course has you covered.
What You'll Learn:
Write efficient LINQ queries that translate to optimized SQL.
Avoid common pitfalls like the "N+1" query problem and inefficient joins.
Master query strategies: eager loading, lazy loading.
Implement tracking vs. no-tracking queries for performance gains.
Profile and debug EF Core queries using real-world tools and techniques.
Optimize pagination, filtering, and dynamic querying.
Apply best practices to scale EF Core queries for large datasets and high-load applications.
Why This Course?
Entity Framework Core is powerful, but with great power comes responsibility. Without proper optimization, your queries can lead to performance bottlenecks. This course equips you with the knowledge and skills to avoid these pitfalls and build robust, high-performance applications.
Who Should Enroll:
.NET developers looking to enhance their EF Core query skills.
Backend engineers focused on application performance and scalability.
Software architects designing efficient data access layers.
Database enthusiasts interested in the intersection of ORM and SQL optimization.
By the end of this course, you'll not only understand how EF Core works under the hood but also how to leverage its features to craft performant, production-ready applications.