Streaming Concepts

Overview

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Streaming is a huge aspect of the data world right now and is being used by nearly every industry from manufacturing to healthcare. Would you like to learn more about the general concepts behind data pipelines and how the processes work?

This course provides a general introduction to streaming concepts including batching, queuing, and stream processing along with where they fit into data processing frameworks. It covers real-world examples of how streaming is implemented in production. It is designed as a general introduction to these concepts and does not require an extensive background in data processing.

Syllabus

Methods for Processing Data

In this chapter, you’ll be given an introduction to basic concepts in batch data processing, revolving around implementation, scaling, and potential challenges during use.

Intro to Streaming

Here, you’ll learn about the basics of streaming, event-based data processing, and the advantages over traditional batch-based data processing.

Streaming Systems

This chapter introduces the concepts behind modern streaming systems, how to scale them, and some of the issues found in using streaming processes.

Real-World Use Cases

In this final chapter, you’ll learn about common streaming systems and consider the implementation of streaming data processing in different use cases.