Mastering Node.js Streams with Erick Wendel

11h 39m 5s
English
Paid

Course description

Learn the Node.js' most powerful feature for processing data on-demand, the Node.js Streams.A practical guide for you to learn how to process large loads of data on demand, such as processing videos, audio, integrations between systems, databases, and more using the powerful Node.js Streams.

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You will learn in practice how to build and test complex projects at scale by:

  • Understanding the difference between Web Streams and Node.js Streams
  • Creating E2E and Unit tests when using Node.js Streams
  • Using multiprocesses and multithreading in Node.js
  • Seeding and consuming multimedia data on demand such as video and audio
  • Processing terabytes of files

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#1: WATCH ME FIRST!

All Course Lessons (34)

#Lesson TitleDurationAccess
1
WATCH ME FIRST! Demo
06:29
2
Meet your Instructor - Who's Erick Wendel?
05:00
3
What are JavaScript events?
03:22
4
Project - Using the Observer Pattern in practice - Payments in Ecommerces use case
42:21
5
Introduction
00:57
6
Buffers: The Key concept behind Streams
27:12
7
What are Strems and Streams Type
09:07
8
What are Streams in Practice - Readable, Writable and Transform Streams?
33:22
9
What are Duplex Streams - Transform and PassThrough
05:18
10
Duplex Streams in practice
20:31
11
Project - creating a chat application between servers using the native Node.js net module
17:43
12
Understanding the difference between streams API .pipe and pipeline
15:17
13
Project - Creating a stream data splitter and converting huge csv files to ndjson - PT01
40:25
14
Project - Creating a stream data splitter and converting huge csv files to ndjson - PT02
49:15
15
Async Iterators, Generator Functions, and on-demand processing
11:25
16
Working with Streams Operators - Consuming and processing data from SQL Databases on-demand
28:38
17
Aborting Async Operations
08:05
18
Project - Consuming Web APIs as Node.js Streams
47:51
19
Introduction
01:27
20
WebStreams 101
13:06
21
Project - Consuming and producing massive data using Web streams (back + frontend) - PT01
21:34
22
Project - Consuming and producing massive data using Web streams (back + frontend) - PT02
31:10
23
Introduction
01:56
24
Processing data in parallel using child processes and Node.js Streams
45:39
25
Introduction
01:28
26
Working with Workers and using N-Tiers architecture for frontend apps
42:40
27
Working with Web Streams and parsing CSV to JSON data on demand
37:28
28
Finding ocurrences and reporting progress
25:42
29
Introduction
00:30
30
Project Overview + Initial Template
16:34
31
Broadcasting empty audio streams to all connected users
10:33
32
Testing complex scenarios with no libraries or frameworks
19:17
33
Playing and Stopping audio streams
35:48
34
Merging ongoing audio streams adding effects on-demand + challenges
21:55

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