Analytics
Exploratory Data Analysis
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.
Pluralsight Teams₹4,166.75 per user/month, billed annually
₹50,004
CompleteBilled Monthly
₹2,370/mo
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Course Insight
Suitable for intermediate learners. Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.
Intermediate FriendlySelf-Paced LearningHands-On Learning
SKILLS TO
MASTER
ModelingTrending
Predictive Machine LearningSQL Querying
Relational Data ManagementCareers:Relevant for professionals pursuing roles within Data Science.
💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.
Quick Facts
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What You’ll Learn
- Course Overview : 2mins.
- Understanding SQL Sublanguages : 9mins.
- What Are Concurrency Challenges? : 16mins.
- Understanding ANSI Concurrency Phenomena : 9mins.
- How ANSI Isolation levels Solve Concurrency Challenges : 18mins.
- Using Transaction Control Language : 13mins.
- Inserting Data with the INSERT Statement : 24mins.
- Using the UPDATE Statement : 13mins.
- Deleting Data Using the DELETE Statement : 12mins.
- Performing Bulk Deletes : 23mins.
- Course Review and Wrap Up : 11mins.
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Description
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.
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