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Chuck Sherman
Real-Time Data Processing
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7202090Real-Time Data Processinghttps://www.gandhi.com.mx/real-time-data-processing-9798347757817/phttps://gandhi.vtexassets.com/arquivos/ids/6747438/image.jpg?v=6387091434557000009696MXNGandhiInStock/Audiolibros/<p>In todays 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. <em>Real-Time Data Processing: Harnessing the Power of Streaming Data</em> provides a comprehensive guide to understanding, implementing, and mastering real-time data processing solutions.</p><p>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.</p><p>Key topics include:</p><ul><li>The fundamentals of real-time data processing and its applications across industries.</li><li>Architecting robust pipelines for processing data at scale with tools like Apache Kafka, Spark Streaming, and Flink.</li><li>Leveraging edge computing and IoT to enhance real-time data workflows.</li><li>Integrating machine learning models for predictive analytics in streaming environments.</li><li>Strategies for ensuring data consistency, fault tolerance, and low-latency processing.</li></ul><p>This book provides actionable insights, case studies, and best practices to help you stay ahead in the data-driven world.</p><p>Empower your organization to make smarter, faster decisionsdive into the transformative world of real-time data processing today!</p>...6854067Real-Time Data Processing9696https://www.gandhi.com.mx/real-time-data-processing-9798347757817/phttps://gandhi.vtexassets.com/arquivos/ids/6747438/image.jpg?v=638709143455700000InStockMXN99999DIAudiolibro20249798347757817_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_<p>In todays 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. <em>Real-Time Data Processing: Harnessing the Power of Streaming Data</em> provides a comprehensive guide to understanding, implementing, and mastering real-time data processing solutions.</p><p>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.</p><p>Key topics include:</p><ul><li>The fundamentals of real-time data processing and its applications across industries.</li><li>Architecting robust pipelines for processing data at scale with tools like Apache Kafka, Spark Streaming, and Flink.</li><li>Leveraging edge computing and IoT to enhance real-time data workflows.</li><li>Integrating machine learning models for predictive analytics in streaming environments.</li><li>Strategies for ensuring data consistency, fault tolerance, and low-latency processing.</li></ul><p>This book provides actionable insights, case studies, and best practices to help you stay ahead in the data-driven world.</p><p>Empower your organization to make smarter, faster decisionsdive into the transformative world of real-time data processing today!</p>...9798347757817_Chuck Shermanaudiolibro_9798347757817_9798347757817Chuck ShermanInglésMéxicoNoMINUTE2024-12-24T00:00:00+00:00Chuck Sherman