Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments

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.

1147104566
Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments

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.

4.95 In Stock
Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments

Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments

by James Henry

Narrated by Rayan Mitchell

Unabridged — 3 hours, 22 minutes

Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments

Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments

by James Henry

Narrated by Rayan Mitchell

Unabridged — 3 hours, 22 minutes

Audiobook (Digital)

$4.95
FREE With a B&N Audiobooks Subscription | Cancel Anytime
$0.00

Free with a B&N Audiobooks Subscription | Cancel Anytime

START FREE TRIAL

Already Subscribed? 

Sign in to Your BN.com Account


Listen on the free Barnes & Noble NOOK app


Related collections and offers

FREE

with a B&N Audiobooks Subscription

Or Pay $4.95

Overview

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.


Product Details

BN ID: 2940193993001
Publisher: James Henry
Publication date: 03/07/2025
Edition description: Unabridged
From the B&N Reads Blog

Customer Reviews