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Demand-based Data Stream Gathering, Processing, and Transmission

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Fundamentals Of Stream Processing

, 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

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents;

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Parallel Computing Architectures and APIs

Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were;

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Mastering Kafka Streams and ksqlDB Building realtime data systems by example

Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream;

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Event Streams in Action

sources, store them in a unified log, and build data processing applications on the resulting event streams. As readers progress through the;

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Data Stream Mining & Processing

This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held;

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Data Stream Management

of systems for end-to-end stream processing: Data Stream Management Systems (DSMSs) and Streaming Data Warehouses (SDWs). A traditional database;

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Kafka Streams in Action

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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Large Scale and Big Data

of different programming models and cloud-based deployment models. The book's second section examines the usage of advanced Big Data processing;

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Large Scale and Big Data

of different programming models and cloud-based deployment models. The book's second section examines the usage of advanced Big Data processing;

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Data Over Radio Data And Digital Processing Techniques In Mobile And Cellular Radio

A complete guide to radio data transmission Data Over Radio: Data and Digital Processing Techniques in Mobile and Cellular Radio is a;

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Scalable Big Data Architecture

distribution. When the data processing is too complex and involves different processing topology like long running jobs, stream processing;

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Data Streams

, with Data Stream Management Systems (DSMSs) and special hardware to deal with data speeds. Even beyond Computer Science, data stream concerns;

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Learning from Data Streams

overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications;

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Learning from Data Streams

overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications;

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Real-Time & Stream Data Management

While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to;

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Database Systems for Advanced Applications

processing and optimization; search and information retrieval; string and sequence processing; stream date processing; graph and network data;

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Database Systems for Advanced Applications

and optimization; search and information retrieval; string and sequence processing; stream date processing; graph and network data processing;

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Transmission and Processing for Data Center Networking

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Advances in Signal Processing

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D;

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Advances in Signal Processing

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D;

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Fundamentals of Pervasive Information Management Systems

Covering both mobile data and sensor data, this comprehensive text offers updated research on sensor technology, stream data processing;

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Functional Processing of Delta-Sigma Bit-Stream

This book discusses non-conventional digital signal processing based on direct processing of delta-sigma modulated bit-stream. The main;

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Functional Processing of Delta-Sigma Bit-Stream

This book discusses non-conventional digital signal processing based on direct processing of delta-sigma modulated bit-stream. The main;

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Hadoop Application Architectures

the process.This book covers: Factors to consider when using Hadoop to store and model data Best practices for moving data in and out of the;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XIV

of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four revised selected regular papers. Topics covered include data stream;

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