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Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream;
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Kafka Streams is a library designed to allow for easy stream processing of data flowing into a Kafka cluster. Stream processing has;
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, windowing, and watermarking Understand real-time streaming applications processing using Schema registry, Kafka connect, Kafka streams, and KSQL;
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near-real time stream data, event logging and aggregation, and data processing into a unified event stream. By efficiently creating a single;
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Amazon Kinesis Video Streams is a fully managed AWS service that you can use to stream live video from devices to the AWS Cloud, or build;
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, heterogeneous, continuous data streams, to extract insights and actionable results in real time. This comprehensive, hands-on guide combining the;
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Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents;
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on high-speed streams to loading real-time data feeds into a streaming warehouse for off-line analysis. We will discuss two types;
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Master the intricacies of Apache Storm and develop real-time stream processing applications with ease About This Book * Exploit the;
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Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming;
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the theoretical foundations and principles of real-time linked dataspaces as a data platform for intelligent systems. The book introduces a;
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the theoretical foundations and principles of real-time linked dataspaces as a data platform for intelligent systems. The book introduces a;
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Data stream algorithms as an active research agenda emerged only over the past few years, even though the concept of making few passes;
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, to extract insights and actionable results in real time. Application domains requiring data stream management include military, homeland;
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. Apache Spark is a big data processing framework perfect for analyzing near-real-time streams and discovering historical patterns in batched;
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Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive;
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Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive;
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Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every;
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Design and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book * Build efficient real-time;
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Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Filled with real-world use cases and scenarios, this;
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characteristics of the messaging layerNew messaging technologies, including Apache Kafka and MapR Streams, with links to sample codeTechnology choices for;
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Streams around the world flow toward the sea in floodplains. All along this transit, there is exchange of water between the stream itself;
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Tropical Stream Ecology describes the main features of tropical streams and their ecology. It covers the major physico-chemical features;
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Designing and writing a real-time streaming publication with Apache Apex About This Book * Get a clear, practical approach to real;
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processing and optimization; search and information retrieval; string and sequence processing; stream date processing; graph and network data;
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and optimization; search and information retrieval; string and sequence processing; stream date processing; graph and network data processing;
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