PostgreSQL Data Manipulation Playbook

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Ami Levin

2:34:12

100 View

1. Course Overview

1. Course Overview.mp4

02:19

2. Understanding SQL Sublanguages

1. Version Check.mp4

00:15

2. Module Introduction.mp4

00:55

3. Data Definition Language (DDL).mp4

01:15

4. Data Control Language (DCL).mp4

01:24

5. Data Manipulation Language (DML).mp4

01:13

6. Data Query Language (DQL).mp4

01:06

7. Data Transaction Language (DTL).mp4

01:07

8. Imperative Constructs.mp4

01:41

9. Module Review.mp4

00:32

3. What Are Concurrency Challenges

1. Module Introduction.mp4

00:46

2. Overview of Concurrency Conflicts.mp4

03:20

3. ACID Properties Guarantees.mp4

04:42

4. Isolation Implementation Paradigms.mp4

06:05

5. Takeaway.mp4

01:31

6. Module Review.mp4

00:27

4. Understanding ANSI Concurrency Phenomena

1. Module Introduction.mp4

00:55

2. Lost Update.mp4

02:03

3. Dirty Read.mp4

02:12

4. Non-Repeatable Read.mp4

01:35

5. Phantom Rows.mp4

01:46

6. Module Review.mp4

01:12

05. How ANSI Isolation levels Solve Concurrency Challenges

01. Module Introduction.mp4

00:53

02. READ UNCOMMITTED.mp4

00:59

03. READ COMMITTED.mp4

03:54

04. READ COMMITTED - DEMO.mp4

03:13

05. REPEATABLE READ.mp4

01:58

06. REPEATABLE READ - DEMO.mp4

01:39

07. Isolation Costs.mp4

01:15

08. SERIALIZABLE.mp4

02:02

09. Notice and Takeaway.mp4

01:52

10. Module Review.mp4

00:36

6. Using Transaction Control Language

1. Module Introduction.mp4

00:46

2. Transaction Blocks.mp4

01:43

3. Setting Transaction Properties.mp4

02:14

4. Transaction Save Points.mp4

01:31

5. DDL Transactions.mp4

00:58

6. Demo - Using TCL.mp4

05:15

7. Module Review.mp4

00:34

07. Inserting Data with the INSERT Statement

01. Module Introduction.mp4

00:41

02. Syntax Conventions.mp4

01:10

03. INSERT Syntax Overview.mp4

01:41

04. Inserting Literal Values.mp4

00:41

05. Code Demo - Inserting Literal Values.mp4

02:04

06. Inserting Default Values.mp4

01:33

07. Code Demo - Inserting Default Values.mp4

01:13

08. Inserting a Query Result Set.mp4

00:56

09. Code Demo - Inserting a Query Result Set.mp4

00:50

10. Inserting Data through Views.mp4

02:59

11. Code Demo - Inserting Data through Views.mp4

00:51

12. Handling Conflicts.mp4

02:20

13. Code Demo - Handling Conflicts.mp4

01:54

14. Returning Data from INSERT.mp4

01:32

15. Code Demo - Returning Data from INSERT.mp4

02:11

16. Module Review.mp4

01:27

08. Using the UPDATE Statement

01. Module Introduction.mp4

00:34

02. UPDATE Syntax.mp4

01:51

03. Updating Column Values.mp4

01:22

04. Code Demo - Updating Column Values.mp4

02:29

05. Limiting the UPDATE Scope.mp4

00:39

06. Code Demo - Limiting the UPDATE Scope.mp4

02:42

07. Updating through Views.mp4

00:35

08. Returning Data from UPDATE.mp4

00:40

09. Code Demo - Returning Data from UPDATE.mp4

01:35

10. Module Review.mp4

00:32

9. Deleting Data Using the DELETE Statement

1. Module Introduction.mp4

00:28

2. DELETE Syntax.mp4

01:37

3. Limiting DELETE Scope.mp4

01:05

4. Code Demo - Limiting DELETE Scope.mp4

04:28

5. Deleting through Views.mp4

00:25

6. Code Demo - Deleting through Views.mp4

01:04

7. Returning Data from DELETE.mp4

01:12

8. Code Demo - Returning Data from DELETE.mp4

01:20

9. Module Review.mp4

00:38

10. Performing Bulk Deletes

1. Module Introduction.mp4

00:46

2. TRUNCATE.mp4

03:01

3. Deleting All Rows.mp4

01:09

4. Large DELETE Optimizations.mp4

05:27

5. Code Demo - Bulk Deletes Part 1.mp4

05:32

6. Code Demo - Bulk Deletes Part 2.mp4

07:16

7. Module Review.mp4

00:28

11. Course Review and Wrap Up

1. Module Introduction.mp4

00:31

2. Course Review.mp4

04:39

3. Take Away.mp4

02:37

4. Feedback.mp4

00:54

5. Next Steps.mp4

01:11

6. Additional Resources.mp4

01:15

7. Thank You.mp4

00:24

Description

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.

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.

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PostgreSQL

Database Programming

Ami Levin

Instructor's Courses

Ami has been teaching, consulting, and mentoring data professionals for over 20 years. Ami's broad theoretical knowledge in data management is complemented by extensive hands-on experience working as a data tier architect, performance tuning expert, and a SQL developer, while at the same time directing and teaching others how to get the most value from their data. Ami owns a US patent for an automatic solution for optimizing database performance. Ami has been highly involved in the SQL community, leading the Silicon Valley Microsoft Data Platform User Group, speaking at user groups, conferences, online events, and is a contributor to online forums. He was honored by the Microsoft MVP award for 11 years. In his free time, Ami likes to take care of his 4 rescue cats, listen to music on his audiophile stereo system, and volunteer at animal shelters. Naturally, Ami is also a strict vegetarian. He loves riding his motorcycle on long trips across the country.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.