110
Published 05/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 92 lectures (6h 48m) | Size: 2.08 GB
Dealing with flows of data the right way
What you'll learn
Understand the differences between Lists and Streams
Implement memory efficient tasks via streaming (e.g. file i/o)
Build complex flows for your application with streams
Handle concurrency and resource safety declaratively
Requirements
Working knowledge of the Scala language
Knowledge of the Cats Effect library
Description
Many applications involve dealing with large flows of data. Examples are processing files in ETL jobs, reading results from a database or getting a big response fromhttp calls. Handling large amounts of data often means sacrificing either readability or performance.
With streams, you can get the best of both worlds
- Data is processed using a constant amount of memory, even if the total amount of data is very large
- The processing is built declaratively as if you were dealing with regular Lists or Sequences, with high level methods such as map, filter and flatMap
In this course we will turn streams inside out and learn things like
- Create and combine pure streams
- Add effects to our streams and learn how to compose them
- Handle errors & resources safely
- Apply patterns involving time, such as retries, throttling and debouncing.
- Build our own stream transformations with Pulls and Pipes
- Handle concurrency using many different patterns
- Communicate between streams using primitives such as Signals, Channels, Topics and Queues
Who this course is for
Scala functional developers with some experience who want to add functional stream to their toolkit
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