Streaming Concepts
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Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
Course Description
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.
What You’ll Learn
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.
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.
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.
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.
