Stream Processing with Scala

Learn how to use stream processing in Scala for writing reactive microservices in a fully non-blocking and asynchronous manner.

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# backend# 16 hours# streams

Overview

Stream processing is a computing paradigm that can radically simplify many aspects of modern applications. Concurrency patterns, data transformations, analytics - streams are a good fit for them all. In this course, developers will learn how to use stream processing in Scala for writing reactive microservices in a fully non-blocking and asynchronous manner. Beyond microservices, this course will techniques for streaming analytics and how those can be put to use with best-of-breed libraries like ZIO Streams.

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Who Should Attend

Developers, data engineers and software architects interested in using stream processing for microservices and analytics.

Prerequisites

Attendees should have basic experience with usage of the Scala language.

Topics

  • Overview of ZIO
  • Constructing streams from static data
  • Using streams to read from external sources
  • Maintaining resource safety using streams
  • Transforming data in parallel
  • Reading from sockets and files using streams
  • Parsing and aggregating data using streams and sinks
  • Optimizing performance using streams and chunks
  • Advanced concurrency patterns
  • Structuring applications using streams
  • Testing streaming applications
TESTIMONIAL
With Ziverge's tech leadership, Hunters was able to tackle challenges and technologies that in normal cases would be inaccessible for a young startup. Ziverge's vast experience in designing complex data pipelines was an amazing shortcut for us; combined with its holistic approach around training, team building, documentation, etc. Ziverge is a true game-changer.
Uri May
CEO Hunters.ai

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