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Working with Data and Schemas in Marten

Working with Data and Schemas in Marten
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 376 MB
Genre: eLearning | Language: English

Marten is an open source library for .NET that enables the use of an underlying PostgreSQL database as a document database. Learn how to work with data and schemas in it!

Marten can be used as a replacement or alternative to other document databases such as MongoDb or RavenDb and can also be an alternative to ORMs such as Entity Framework. While Marten is easy to get started with, it also provides an array of customization, diagnostic, data manipulation, and performance related features that can be additionally employed. In this course, Working with Data and Schemas in Marten, you'll learn how to improve query performance, diagnose and log SQL statements, implement offline optimistic concurrency, and customize PostgreSQL schema objects. First, you'll discover how to log and diagnose SQL queries and DDL commands generated by Marten. Next, you'll learn how to prevent data loss with offline optimistic concurrency and how to soft-delete documents. Then, you'll move on to learning how to reduce database round trips, improve PostgreSQL query performance, and how to reduce client CPU costs. Finally, you'll discover how to take control over the PostgreSQL schema objects that Marten defines and creates. By the end of this course, you'll have a better understanding of how to work with data and schemas in Marten.