Real-Time Data Processing
James Henry
Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments offers a comprehensive exploration of the fast-paced world of real-time data processing. As organizations increasingly rely on timely insights to drive decision-making and maintain competitive advantage, mastering the intricacies of real-time data systems has never been more critical.
This book delves into the fundamental concepts of real-time data processing, distinguishing it from traditional batch processing. Readers will gain a thorough understanding of data streams, latency, throughput, and the architecture that supports real-time analytics. With a focus on practical application, the book presents a range of tools and technologies—including Apache Kafka, Apache Flink, and Google Cloud Dataflow—that empower professionals to build robust, scalable data processing systems.
With practical examples, hands-on projects, and expert insights, Real-Time Data Processing is an essential resource for data engineers, data scientists, and technology professionals looking to harness the power of real-time data.
Duration - 3h 22m.
Author - James Henry.
Narrator - Rayan Mitchell.
Published Date - Wednesday, 08 January 2025.
Copyright - © 2025 James Henry ©.
Location:
United States
Description:
Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments offers a comprehensive exploration of the fast-paced world of real-time data processing. As organizations increasingly rely on timely insights to drive decision-making and maintain competitive advantage, mastering the intricacies of real-time data systems has never been more critical. This book delves into the fundamental concepts of real-time data processing, distinguishing it from traditional batch processing. Readers will gain a thorough understanding of data streams, latency, throughput, and the architecture that supports real-time analytics. With a focus on practical application, the book presents a range of tools and technologies—including Apache Kafka, Apache Flink, and Google Cloud Dataflow—that empower professionals to build robust, scalable data processing systems. With practical examples, hands-on projects, and expert insights, Real-Time Data Processing is an essential resource for data engineers, data scientists, and technology professionals looking to harness the power of real-time data. Duration - 3h 22m. Author - James Henry. Narrator - Rayan Mitchell. Published Date - Wednesday, 08 January 2025. Copyright - © 2025 James Henry ©.
Language:
English
Opening Credits
Duration:00:00:12
1 Introduction to real time data
Duration:00:11:51
2 Fundamental concepts
Duration:00:10:15
3 Architectures for real time data
Duration:00:20:27
4 Technologies and frameworks
Duration:00:23:43
5 Data ingestion techniques
Duration:00:13:43
6 Data processing techniques
Duration:00:15:23
7 Real time analytics
Duration:00:15:19
8 Challenges in real time data
Duration:00:11:18
9 Use cases and applications
Duration:00:17:21
10 Future trends in real time data
Duration:00:12:19
11 Practical implementation
Duration:00:22:09
12 Conclusion
Duration:00:28:10
Ending Credits
Duration:00:00:13