In today's fast-paced digital landscape, the ability to process and act on data in real time has become a cornerstone of success for organizations across industries. Real-Time Data Processing: Harnessing the Power of Streaming Data provides a comprehensive guide to understanding, implementing, and mastering real-time data processing solutions.
This book explores the technologies, tools, and architectures that enable businesses to transform streams of raw data into actionable insights, from handling high-velocity data ingestion to deploying scalable distributed systems.
Key topics include:
- The fundamentals of real-time data processing and its applications across industries.
- Architecting robust pipelines for processing data at scale with tools like Apache Kafka, Spark Streaming, and Flink.
- Leveraging edge computing and IoT to enhance real-time data workflows.
- Integrating machine learning models for predictive analytics in streaming environments.
- Strategies for ensuring data consistency, fault tolerance, and low-latency processing.
This book provides actionable insights, case studies, and best practices to help you stay ahead in the data-driven world.
Empower your organization to make smarter, faster decisions-dive into the transformative world of real-time data processing today!
In today's fast-paced digital landscape, the ability to process and act on data in real time has become a cornerstone of success for organizations across industries. Real-Time Data Processing: Harnessing the Power of Streaming Data provides a comprehensive guide to understanding, implementing, and mastering real-time data processing solutions.
This book explores the technologies, tools, and architectures that enable businesses to transform streams of raw data into actionable insights, from handling high-velocity data ingestion to deploying scalable distributed systems.
Key topics include:
- The fundamentals of real-time data processing and its applications across industries.
- Architecting robust pipelines for processing data at scale with tools like Apache Kafka, Spark Streaming, and Flink.
- Leveraging edge computing and IoT to enhance real-time data workflows.
- Integrating machine learning models for predictive analytics in streaming environments.
- Strategies for ensuring data consistency, fault tolerance, and low-latency processing.
This book provides actionable insights, case studies, and best practices to help you stay ahead in the data-driven world.
Empower your organization to make smarter, faster decisions-dive into the transformative world of real-time data processing today!
Real-Time Data Processing: Harnessing the Power of Streaming Data
Real-Time Data Processing: Harnessing the Power of Streaming Data
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with a B&N Audiobooks Subscription
Product Details
| BN ID: | 2940194521357 |
|---|---|
| Publisher: | Chuck Sherman |
| Publication date: | 12/24/2024 |
| Edition description: | Unabridged |
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