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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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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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Apache Kafka Quick Start Guide

, windowing, and watermarking Understand real-time streaming applications processing using Schema registry, Kafka connect, Kafka streams, and KSQL;

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Event Streams in Action

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 Developer Guide

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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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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Data Stream Management

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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Mastering Apache Storm

Master the intricacies of Apache Storm and develop real-time stream processing applications with ease About This Book * Exploit the;

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Pro Spark Streaming

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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Real-time Linked Dataspaces

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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Real-time Linked Dataspaces

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 Streams

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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Parallel Computing Architectures and APIs

, to extract insights and actionable results in real time. Application domains requiring data stream management include military, homeland;

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Spark in Action

. 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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Learning from Data Streams

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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Learning from Data Streams

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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Scalable Big Data Architecture

Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every;

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Building Data Streaming Applications with Apache Kafka

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

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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Streaming Architecture

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 and Ground Waters

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

Tropical Stream Ecology describes the main features of tropical streams and their ecology. It covers the major physico-chemical features;

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Learning Apache Apex

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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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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