Playlist Duration

Playlist · Java Brains

Databases for Backend Engineers - Java Backend Bootcamp

by Java Brains · 35 videos

Total watch time

3h 30m

at 1× speed · exactly 3 hours, 30 minutes, 2 seconds at 1×

At an hour a day you'd finish in 4 days

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16:26

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About 4 days at an hour a day

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Videos (35)

3h 30m in total · tick what you've watched

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Videos to
Watched
1 01 Introduction and goal (Databases and data stores for backend engineers) 5:33 2023-10-28
2 02 The importance of data storage (Databases and data stores for backend engineers) 6:52 2023-10-28
3 03 Databases in system design interviews (Databases and data stores for backend engineers) 9:38 2023-10-28
4 04 Other data storage types (Databases and data stores for backend engineers) 2:44 2023-10-28
5 05 History of databases (Databases and data stores for backend engineers) 16:26 2023-10-28
6 06 Databases in backend development (Databases and data stores for backend engineers) 5:58 2023-10-28
7 07 Audience questions (Databases and data stores for backend engineers) 3:53 2023-10-28
8 08 Understanding database types (Databases and data stores for backend engineers) 12:39 2023-10-28
9 09 Audience questions (Databases and data stores for backend engineers) 3:21 2023-10-28
10 10 Database models (Databases and data stores for backend engineers) 8:17 2023-10-28
11 11 Schemas, indexes and transactions (Databases and data stores for backend engineers) 7:52 2023-10-28
12 12 Relational database key ideas (Databases and data stores for backend engineers) 6:10 2023-10-28
13 13 ACID compliance (Databases and data stores for backend engineers) 5:52 2023-10-28
14 14 Audience questions (Databases and data stores for backend engineers) 1:13 2023-10-28
15 15 ORM in Java (Databases and data stores for backend engineers) 6:57 2023-10-28
16 16 Pros, cons and when to use relational databases (Databases and data stores for backend engineers) 4:16 2023-10-28
17 17 Relational database use case study (Databases and data stores for backend engineers) 4:47 2023-10-28
18 18 Scaling strategies with RDBMS (Databases and data stores for backend engineers) 8:43 2023-10-28
19 19 Introduction to NoSQL databases (Databases and data stores for backend engineers) 4:21 2023-10-28
20 20 Types of NoSQL databases (Databases and data stores for backend engineers) 3:46 2023-10-28
21 21 Key value vs document databases (Databases and data stores for backend engineers) 3:34 2023-10-28
22 22 Audience questions (Databases and data stores for backend engineers) 1:53 2023-10-28
23 23 Advantages and disadvantages of NoSQL databases (Databases and data stores for backend engineers) 12:29 2023-10-28
24 24 Strategies for ACID in NoSQL DBs (Databases and data stores for backend engineers) 6:48 2023-10-28
25 25 Audience questions (Databases and data stores for backend engineers) 3:05 2023-10-28
26 26 Transactions in document databases (Databases and data stores for backend engineers) 2:52 2023-10-28
27 27 What are NewSQL databases (Databases and data stores for backend engineers) 10:08 2023-10-28
28 28 Use case for NewSQL (Databases and data stores for backend engineers) 6:42 2023-10-28
29 29 Audience questions (Databases and data stores for backend engineers) 2:03 2023-10-28
30 30 Time series databases (Databases and data stores for backend engineers) 9:56 2023-10-28
31 31 How time series databases work (Databases and data stores for backend engineers) 8:58 2023-10-28
32 32 When to choose time series database (Databases and data stores for backend engineers) 4:14 2023-10-28
33 33 Disadvantages of time series databases (Databases and data stores for backend engineers) 5:01 2023-10-28
34 34 Some use cases for time series databases (Databases and data stores for backend engineers) 1:55 2023-10-28
35 35 Conclusion (Databases and data stores for backend engineers) 1:06 2023-10-28
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