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Stream Processing

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May 1, 2024 Updated May 11, 2025 25 minute read
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Stream processing is a paradigm that deals with data in motion, analyzing and acting on information as it arrives. This approach allows for immediate insights and responses, a critical capability in today's fast-paced digital world. Imagine a constantly flowing river of data; stream processing is the set of tools and techniques used to dip into that river, understand what's happening, and make decisions on the fly. This capability powers many of the real-time features we interact with daily and is becoming increasingly vital for businesses across various sectors seeking to leverage up-to-the-second information.

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We've curated 16 courses to help you on your path to Stream Processing. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Stream Processing.
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Stream Processing with Apache Flink
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Provides a comprehensive introduction to stream processing with Apache Flink, a popular open-source stream processing framework. It covers the basics of stream processing, including concepts like event-time and windowing, as well as advanced topics like state management and fault tolerance.
Stream Processing with Apache Flink
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Stream Processing with Apache Flink
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Apache Hadoop YARN
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Provides a hands-on guide to stream processing with Apache Storm. It covers the basics of Apache Storm, as well as how to use Storm for real-time data analytics with a focus on the applications of Apache Storm.
Apache Hadoop YARN: Moving beyond MapReduce and...
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Kafka: The Definitive Guide
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Provides a hands-on guide to stream processing with Apache Kafka. It covers the basics of Apache Kafka, as well as how to use Kafka for real-time data analytics with a focus on the applications of Apache Kafka.
Kafka: The Definitive Guide: Real-Time Data and...
Paperback
$$
Relevant careers
Data Engineer
Data Scientist
Machine Learning Engineer
Software Engineer
Systems Engineer
Database Administrator
Network Engineer
Information Security Analyst
Business Analyst
Project Manager
Related topics
Data Science
Big Data
Cloud Computing
Machine Learning
Software Engineering
Artificial Intelligence
Data Analysis
Web Development
Database Management
Information Technology
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