REAL-TIME DATA ANALYSIS: Frameworks and Techniques for Fast Processing

This book provides a practical and in-depth approach to the leading frameworks and strategies used in the industry, including Apache Kafka, Flink, Spark Streaming, ClickHouse, Redis, and Lambda and Kappa architectures. Through detailed explanations and applicable examples, you will learn how to design efficient data pipelines, handle high-speed, low-latency processing, and implement scalable solutions for streaming analysis.

Beyond the essential concepts, the book explores real-time data security, performance optimization, and advanced applications in IoT, finance, cybersecurity, and machine learning. Whether you are a data engineer, data scientist, or IT professional looking for practical knowledge to build robust continuous analysis systems, this book is the ideal tool to enhance your skills and impact the market with innovative solutions.

Master real-time data analysis and be prepared for the challenges of the digital age.

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