Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35
Introduction
00:00 • 3min
Postgres Data Bases
02:54 • 2min
How Did You Get Into Data Bases?
04:51 • 2min
Data Bases - What's the Difference?
07:14 • 2min
How to Optimize Data Bases?
08:54 • 3min
PostgreSQL
11:57 • 2min
Is Data Grip a Good Tool?
13:50 • 2min
What's the Most Powerful Utility of Picequa?
15:52 • 2min
How to Remove Stress From Your Life With Sentry
17:24 • 3min
What Can You Do About It?
20:32 • 2min
How to Find Problems With Your Data Base
22:12 • 2min
Why Is It Slow?
23:46 • 2min
How to Add Io Information to a Query in Postgress?
25:55 • 3min
Is PostGrass Local or Local a Good Idea?
28:29 • 2min
How to Generate Fake Data?
30:30 • 2min
PostgreSQL - Can a Multicula Bit Blot Blobs Be Used?
32:10 • 2min
Using Mongo to Outperform Postgrests
34:02 • 2min
Can I Run This, Can I Analyze My Local Machine?
35:54 • 2min
Is There a Problem With Post Grint?
37:58 • 2min
Post Grass Query Plans - What You Need to Know
39:54 • 3min
The Biggest Thing to Do on Postgress Is to Work Out Where the Time Is Going
42:42 • 2min
The Query Is Not Returning 200 Thousand Rows, Is It?
44:45 • 3min
The Knock on Effects of Passing That Many Columns
47:24 • 3min
Using a Post Grithms Tool to High Light in Red
50:00 • 2min
The Queer Planet, a Visual Visualization of the Queer World.
52:04 • 2min
Query Plan
53:51 • 2min
The Most Valuable Operations on Disks
55:41 • 3min
How to Rebuild an Index?
58:25 • 2min
How to Get the Most Out of a Timer
01:00:34 • 2min
Is There a Better Way to Estimate Joins?
01:02:50 • 2min
PostgreSQL
01:04:21 • 2min
Index Potential Tip
01:06:13 • 2min
Is It Worth Taking a Look?
01:07:51 • 2min
The Best Data Base Goe Tool Ever?
01:10:19 • 2min
Talk Python - How to Get Started on Talk Python
01:11:50 • 2min