PostgreSQL Data Manipulation Playbook from Pluralsight

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.

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.

What's inside

Syllabus

Course Overview

Understanding SQL Sublanguages

What Are Concurrency Challenges?

Understanding ANSI Concurrency Phenomena

How ANSI Isolation levels Solve Concurrency Challenges

Using Transaction Control Language

Inserting Data with the INSERT Statement

Using the UPDATE Statement

Deleting Data Using the DELETE Statement

Performing Bulk Deletes

Course Review and Wrap Up

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Geared towards database designers and developers who need to understand the challenges and solutions for data modifications in multi-user database applications

Taught by instructors who are recognized in the industry for their expertise in database design and development

Examines various concurrency phenomena, including ANSI Concurrency Phenomena, and explores solutions to these challenges

Provides hands-on experience with PostgreSQL's rich DML syntax and advanced techniques for solving data modification challenges

Develops a deep understanding of concurrency challenges and teaches practical tools and techniques for tackling these challenges efficiently in database applications

Assumes prior knowledge of SQL and database concepts

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 PostgreSQL Data Manipulation Playbook with these activities:

Review basic SQL

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Refresh your understanding of basic SQL concepts to prepare for advanced data manipulation techniques.

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Review SQL syntax for data retrieval and modification.
Practice writing basic SQL queries.

Practice SQL commands

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Sharpen your SQL skills by practicing commands essential for data manipulation.

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Use an online SQL editor or practice platform.
Execute SQL commands for data insertion, updation, and deletion.

Collaborative problem-solving sessions

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Expand your perspectives and enhance your problem-solving skills through discussions with peers.

Browse courses on Data Manipulation

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Join or form a study group with other students taking the course.
Regularly meet to discuss course concepts, share insights, and solve problems together.

Five other activities

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Concurrency simulations

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Gain hands-on experience with concurrency phenomena and isolation levels through simulations.

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Create simulated scenarios with multiple users accessing shared resources.
Analyze the behavior of the database under different isolation levels.
Apply strategies to mitigate concurrency issues.

Advanced SQL techniques for data manipulation

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Develop a strong foundation in SQL data manipulation techniques to confidently perform complex data modifications.

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Explore advanced SQL syntax for data manipulation, such as MERGE and CTEs.
Practice using these techniques to solve real-world data manipulation challenges.

Data manipulation use case documentation

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Enhance your understanding by documenting real-world data manipulation use cases in your own words.

Browse courses on Data Manipulation

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Identify a specific data manipulation scenario in a real-world application.
Design a database schema and SQL queries to implement the scenario.
Document the process and challenges encountered in a concise and informative manner.

Data manipulation project

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Apply your knowledge by designing and implementing a project that involves complex data modifications.

Browse courses on Data Manipulation

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Define a project scope that involves data manipulation challenges.
Design a database schema and SQL queries to implement the project.
Implement the project and test it thoroughly.
Document the project and present your findings.

Contribute to database projects

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Gain practical experience and contribute to the broader database community by participating in open-source projects.

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Identify open-source database projects that align with your interests.
Review the project documentation and contribute to coding, documentation, or community support.

Career center

Learners who complete PostgreSQL Data Manipulation Playbook will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts translate data into insights. Their work ensures that organizations can make better decisions and stay competitive. As a Data Analyst, you would build upon the skills provided by this course to gain valuable insights that power decision-making and improve business outcomes.

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Database Administrator

Database Administrators maintain the databases that organizations rely on for smooth operations. As a Database Administrator, you would use the skills learned in this course to ensure that databases are running efficiently, securely, and in accordance with best practices.

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Data Scientist

Data Scientists use data to solve problems and create value for organizations. This course provides a solid foundation for Data Scientists, helping them to understand the challenges associated with data modification and consistency, as well as the techniques to overcome them.

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Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. As a Software Engineer, you would benefit from the knowledge gained in this course when working with databases and ensuring data integrity in software applications.

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Business Analyst

Business Analysts bridge the gap between business and technology. They use data to understand business needs and develop solutions that meet those needs. This course can help Business Analysts to gain a deeper understanding of data management and consistency issues, which is crucial for successful solution development.

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Data Architect

Data Architects design and manage the data infrastructure that supports an organization's information systems. This course provides Data Architects with the knowledge and skills to ensure that data is managed in a consistent and reliable manner.

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Information Security Analyst

Information Security Analysts protect organizations from cyber threats and data breaches. This course provides Information Security Analysts with a deeper understanding of data modification and consistency challenges, which is essential for developing effective security measures.

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Data Engineer

Data Engineers design, build, and maintain the infrastructure that supports data-driven applications. This course provides Data Engineers with the knowledge and skills to ensure that data is processed and stored in a consistent and reliable manner.

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Database Developer

Database Developers design and develop databases. This course provides Database Developers with the knowledge and skills to ensure that databases are designed and implemented in a way that minimizes data inconsistency issues.

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Quality Assurance Analyst

Quality Assurance Analysts test and verify the quality of software applications. This course can help Quality Assurance Analysts to develop a deeper understanding of data management and consistency issues, which is crucial for effective software testing.

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Technical Writer

Technical Writers create documentation for software and other technical products. This course can help Technical Writers to gain a deeper understanding of data management and consistency issues, which is crucial for creating accurate and informative documentation.

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Project Manager

Project Managers plan and execute projects. This course can help Project Managers to gain a deeper understanding of data management and consistency issues, which is crucial for successful project delivery.

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Systems Analyst

Systems Analysts design and implement computer systems. This course can help Systems Analysts to gain a deeper understanding of data management and consistency issues, which is crucial for designing and implementing effective systems.

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Computer Programmer

Computer Programmers write and maintain computer programs. This course can help Computer Programmers to gain a deeper understanding of data management and consistency issues, which is crucial for writing and maintaining reliable software.

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Network Administrator

Network Administrators manage computer networks. This course may be helpful for Network Administrators who are responsible for managing databases and ensuring data integrity.

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