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PostgreSQL Data Manipulation Playbook

Data modifications are a critical aspect of application design. In this course, you will learn about challenges associated with multi-user data access and the tools that PostgreSQL provides to tackle them, so you can avoid data consistency issues.

Intermediate
2h 34m
(82)

Created by Ami Levin

Last Updated May 22, 2020

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  • Course

PostgreSQL Data Manipulation Playbook

Data modifications are a critical aspect of application design. In this course, you will learn about challenges associated with multi-user data access and the tools that PostgreSQL provides to tackle them, so you can avoid data consistency issues.

Intermediate
2h 34m
(82)

Created by Ami Levin

Last Updated May 22, 2020

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What you'll learn

Multi-user database applications involve many challenges. While many designers focus on performance, scalability, and other very important aspects, data modifications and consistency challenges are sometimes overlooked. In this course, PostgreSQL Data Manipulation Playbook, you will learn about the various concurrency phenomena that may occur when multiple users access shared resources. First, you will cover how to predict, prepare, and plan for these challenges. Next, you will discover how to use PostgreSQL rich DML syntax to tackle data modifications, and how to use advanced techniques to solve harder challenges, associated with large scale data modifications. Finally, you will explore how to avoid many common pitfalls along the way. After completing this course, you will have both the fundamental theoretical knowledge needed to understand concurrency challenges, and the practical tools and techniques you will need to tackle these efficiently for your database applications.

PostgreSQL Data Manipulation Playbook
Intermediate
2h 34m
(82)
Table of contents

About the author
Ami Levin - Pluralsight course - PostgreSQL Data Manipulation Playbook
Ami Levin
4 courses 4.8 author rating 677 ratings

Ami is a senior instructor and mentor with over 25 years of experience in data tier architecture, data modeling, database design, and SQL development.

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