Algorithms and data structures in simple terms. Data for web developer
Egor talks about what data is for a Web developer. What can you face, and is it worth being afraid? Is it difficult? So, brew chain / caffeine - it will be interesting 😉
Timecodes:
01:00 Why not immediately about microservices
02:00 Data on the Internet
03:30 Computer networks, network topology
05:00 Network data corruption
05:50 Counting traffic in retail chains
08:30 About XML
09:40 About JSON
13:43 Binary data or unpopular types of data transfer on the web
14:26 What's the problem with the data?
17:00 Services VS Microservices?
17:46 Storing data between requests
20:13 Data mapping, adaptation and transformation
21:42 Transfer rate
23:00 Code quality?
24:14 Basic techniques to learn how to work with data
27:20 About complex data types
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