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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

their data without sacrificing time or effort. By the end of the book, readers will be ready to use Kafka Streams in their projects to reap;

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Apache Kafka Quick Start Guide

Process large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest;

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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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Building Data Streaming Applications with Apache Kafka

practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with;

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Transactional Machine Learning with Data Streams and AutoML

data streams with auto machine learning integrated with Apache Kafka. Transactional Machine Learning with Data Streams and AutoML;

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Mastering Hadoop 3

handling high data volumes. As you advance, you'll discover how to address major challenges when building an enterprise-grade messaging system, and;

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Data Management in Pervasive Systems

This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the;

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Event Streams in Action

processing data from multiple sources. It then guides the reader through examples using the unified log technologies Apache Kafka and Amazon;

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Complete Guide to Open Source Big Data Stack

components are introduced by example and you learn how they work together. In the Complete Guide to Open Source Big Data Stack, the author begins by;

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Kafka Streams - Real-time Stream Processing

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Multimedia Information Storage and Management

Multimedia information systems are quite different from traditional information systems, especially in data types, modeling, delivery, and;

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Streaming Data

challenges and solutions of building in-the-moment data systems before committing to specific technologies. Using lots of diagrams, this book;

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Mastering Cloud Computing

computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures;

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Oracle Streams 11G Data Replication

any online entitlements included with the product. Master Oracle Streams 11g ReplicationEnable real-time information access and data;

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Realtime Web Apps: With Html5 Websocket, Php, And Jquery

Realtime Web Apps: With HTML5 WebSocket, PHP, and jQuery is a guide for beginner- to intermediate-level web developers looking to take the;

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Hadoop in Practice

like analyzing real-time streams, moving data securely between storage systems, and managing large-scale clusters. The Hadoop ecosystem;

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Machine Learning Systems

of failure and changes in load. But machine learning systems are different than other applications when it comes to testing, building, deploying, and;

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Reusability for Intelligent Realtime Interactive Systems

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21 Recipes for Mining Twitter

Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and;

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Mastering BeagleBone Robotics

If you want a simple guide to building complex robots, then this book is for you. You'll need some programming knowledge and experience;

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Data Streams

branches of Computer Science including databases, networking, knowledge discovery and data mining, and hardware systems. Industry is in synch too;

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Learning from Data Streams in Evolving Environments

This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by;

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Fast Data Processing Systems with SMACK Stack

Combine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the;

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Outlier Detection for Temporal Data

including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there;

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

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and;

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Mastering Consultation as an HR Practitioner

can be used immediately and applied every day for: Defining customer needs Gathering the right data Avoiding common obstacles Building;

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