Working with Data and Schemas in Marten 1 from Pluralsight

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 1, 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.

What's inside

Syllabus

Course Overview

Logging and Diagnosing SQL Commands and Schema Changes

Modifying Document Data

Improving Query Performance

Customizing Database Schema Objects

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Develops skills in data and schema management for document databases using Marten, an open-source library for .NET that enables the use of an underlying PostgreSQL database as a document database

Taught by experienced instructor Jason Roberts, who is knowledgeable about the concepts of document database management and Marten

Explores advanced features of Marten such as customization, diagnostic, data manipulation, and performance-related features

Provides practical guidance on improving query performance, diagnosing and logging SQL statements, implementing offline optimistic concurrency, and customizing PostgreSQL schema objects

Course content is relevant to those who want to gain in-depth knowledge of data and schema management in Marten and extend their skills in document database management

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Working with Data and Schemas in Marten 1 with these activities:

Organize Course Materials

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Organize course materials for easy reference and improve retention.

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Create a dedicated folder or notebook for course materials.
File notes, assignments, quizzes, and exams.
Review organized materials regularly.

Read 'PostgreSQL: Up and Running' by Simon Riggs

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Gain a comprehensive understanding of PostgreSQL, the underlying database used by Marten.

View PostgreSQL 16 Administration Cookbook: Solve... on Amazon

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Purchase or borrow the book.
Read the book thoroughly.
Take notes and highlight important concepts.
Complete the exercises and examples provided in the book.

Join a Marten Study Group

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Join a Marten study group to connect with fellow learners, discuss concepts, and reinforce understanding.

Browse courses on Marten

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Find or create a Marten study group.
Attend regular study sessions.
Participate in discussions and ask questions.

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Practice Logging and Diagnosing SQL Queries

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Practice logging and diagnosing SQL queries to identify and resolve database issues.

Browse courses on Marten

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Set up logging for Marten and PostgreSQL.
Execute SQL queries and observe the generated logs.
Analyze the logs to identify any errors or performance issues.

Execute SQL Commands Against Tables

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Practice executing SQL commands against tables to improve understanding of data manipulation and retrieval.

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Create a new database and table in PostgreSQL.
Use Marten to connect to the database and table.
Execute SQL commands to insert, update, and delete data.
Verify the results of the SQL commands by querying the database.

Follow Tutorial on Offline Optimistic Concurrency

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Follow a tutorial on offline optimistic concurrency to understand how to prevent data loss in offline scenarios.

Browse courses on Marten

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Find a suitable tutorial on offline optimistic concurrency.
Follow the tutorial step-by-step.
Test the offline optimistic concurrency implementation.

Attend a Marten Workshop

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Attend a Marten workshop to gain hands-on experience and learn advanced techniques.

Browse courses on Marten

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Find a suitable Marten workshop.
Register for the workshop.
Attend the workshop and participate actively.
Implement what you learned into your projects.

Build a Custom Schema Object for Marten

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Create a custom schema object for Marten to gain hands-on experience with customizing the database schema.

Browse courses on Marten

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Define the custom schema object using Marten's fluent API.
Create a migration to apply the custom schema object to the database.
Test the custom schema object by inserting and querying data.
Document the custom schema object and its usage.

Create a Presentation on Document Databases

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Create a presentation on document databases to reinforce understanding and share knowledge with others.

Browse courses on Document Databases

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Research document databases and their benefits.
Choose a specific topic related to document databases.
Create a presentation outline and slides.
Practice presenting the content.
Share the presentation with others.

Career center

Learners who complete Working with Data and Schemas in Marten 1 will develop knowledge and skills that may be useful to these careers:

Database Administrator

Database Administrators are responsible for managing and maintaining databases, ensuring that they are running smoothly and efficiently. This course on working with data and schemas in Marten can provide you with the skills to diagnose and log SQL statements, implement offline optimistic concurrency, and customize PostgreSQL schema objects. These skills are essential for ensuring the integrity and performance of databases, making this course highly relevant for those aspiring to become Database Administrators.

See salaries and explore the career path for Database Administrator

Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. This course on working with data and schemas in Marten can provide you with the skills to customize PostgreSQL schema objects, enabling you to optimize data storage and retrieval for specific business needs. This knowledge is essential for Data Engineers to design and implement efficient data pipelines.

See salaries and explore the career path for Data Engineer

Data Warehouse Engineer

Data Warehouse Engineers design and build data warehouses to store and manage large amounts of data for analysis and reporting. This course on working with data and schemas in Marten can provide you with the skills to customize PostgreSQL schema objects, enabling you to optimize data storage and retrieval for specific business needs. This knowledge is essential for Data Warehouse Engineers to design and implement efficient and scalable data warehouses.

See salaries and explore the career path for Data Warehouse Engineer

Database Developer

Database Developers design and develop databases to meet the specific needs of businesses. This course on working with data and schemas in Marten can provide you with the skills to implement offline optimistic concurrency, ensuring data integrity in distributed systems. This knowledge is essential for Database Developers to design and implement robust and reliable databases.

See salaries and explore the career path for Database Developer

Data Integration Engineer

Data Integration Engineers design and implement systems to integrate data from multiple sources into a single, cohesive data store. This course on working with data and schemas in Marten can provide you with the skills to improve query performance, reduce database round trips, and improve PostgreSQL query performance. These skills are essential for Data Integration Engineers to efficiently integrate and manage data from diverse sources.

See salaries and explore the career path for Data Integration Engineer

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models to solve complex problems. This course on working with data and schemas in Marten can provide you with the skills to improve query performance, reduce database round trips, and improve PostgreSQL query performance. These skills are essential for Machine Learning Engineers to efficiently train and deploy machine learning models on large datasets.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, and maintain software systems. This course on working with data and schemas in Marten can provide you with the skills to improve query performance, reduce database round trips, and improve PostgreSQL query performance. These skills are essential for developing efficient and scalable software systems, making this course highly relevant for those aspiring to become Software Engineers.

See salaries and explore the career path for Software Engineer

Business Intelligence Analyst

Business Intelligence Analysts use data to identify opportunities and solve problems for businesses. This course on working with data and schemas in Marten can provide you with the skills to improve query performance, reduce database round trips, and improve PostgreSQL query performance. These skills are essential for Business Intelligence Analysts to efficiently analyze data and generate insights that drive business decisions.

See salaries and explore the career path for Business Intelligence Analyst

Information Architect

Information Architects design and organize information systems to meet the needs of businesses. This course on working with data and schemas in Marten can provide you with the skills to customize PostgreSQL schema objects, enabling you to optimize data storage and retrieval for specific business needs. This knowledge is essential for Information Architects to design and implement efficient and effective information systems.

See salaries and explore the career path for Information Architect

Artificial Intelligence Engineer

Artificial Intelligence Engineers design and develop artificial intelligence systems to solve complex problems. This course on working with data and schemas in Marten can provide you with the skills to improve query performance, reduce database round trips, and improve PostgreSQL query performance. These skills are essential for Artificial Intelligence Engineers to efficiently train and deploy artificial intelligence systems on large datasets.

See salaries and explore the career path for Artificial Intelligence Engineer

Data Governance Analyst

Data Governance Analysts develop and implement policies and procedures to ensure the effective and ethical use of data within an organization. This course on working with data and schemas in Marten can provide you with the skills to log and diagnose SQL queries and DDL commands, enabling you to gain a deeper understanding of how data is stored and processed. This knowledge is essential for Data Governance Analysts to effectively monitor and control data usage.

See salaries and explore the career path for Data Governance Analyst

Data Scientist

Data Scientists collect and analyze large amounts of data to extract insights and help businesses make informed decisions. This course on working with data and schemas in Marten can provide you with the skills to manage and analyze data effectively, which is essential for success as a Data Scientist. By learning how to log and diagnose SQL queries and DDL commands, you can gain a deeper understanding of how data is stored and processed, enabling you to make better use of the insights extracted from data analysis.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts collect, analyze, and interpret data to identify trends and patterns. This course on working with data and schemas in Marten can provide you with the skills to log and diagnose SQL queries and DDL commands, enabling you to gain a deeper understanding of how data is stored and processed. This knowledge is essential for Data Analysts to effectively analyze data and extract meaningful insights.

See salaries and explore the career path for Data Analyst

Cloud Architect

Cloud Architects design and implement cloud computing solutions to meet the needs of businesses. This course on working with data and schemas in Marten may be useful for Cloud Architects who need to manage and optimize data storage and retrieval in cloud-based environments.

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Working with Data and Schemas in Marten 1

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