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Fast Data Processing Systems with SMACK Stack

massive way with Kafka In Detail SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka;

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Complete Guide to Open Source Big Data Stack

See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The;

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Learning Elastic Stack 6.0

to grips with the new features introduced in Elastic Stack 6.0 * Get valuable insights from your data by working with the different;

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Beginning Elastic Stack

problems for your clients as fast as possible. Supported by Puppet and available with various plugins. Get started with Beginning Elastic Stack;

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Learning Elastic Stack 7.0

applications to an on-premise or cloud-based production environment with Elastic Stack Who this book is forThis book is for entry-level data;

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Big Data SMACK

one paradigm to perform efficient analyses. Big Data SMACK explains each of the full-stack technologies and, more importantly, how to;

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Mastering SciPy

topics, with a discussion of the relevant algorithms built in the SciPy stack Who This Book Is For If you are a mathematician, engineer, or;

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Ultrafast All-Optical Signal Processing Devices

Semiconductor-based Ultra-Fast All-Optical Signal Processing Devices -a key technology for the next generation of ultrahigh bandwidth;

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Sae J1939 ECU Programming & Vehicle Bus Simulation with Arduino

implementing an SAE J1939 protocol stack for embedded systems. The book is filled with numerous C/C++ code examples and valuable documentation of the;

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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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Adaptive Signal Processing in Wireless Communications

in Wireless Communications Series through a unified framework across all layers of the wireless protocol stack ranging from the physical layer to the;

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Hbase in Action

When dealing with big data, traditional databases don't cut it. It's best to use the right tool for the job. HBase is a NoSQL storage;

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Distributed Computing with Python

write data processing programs in Python that are highly available, reliable, and fault tolerant * Make use of Amazon Web Services along with;

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AI Computing Systems

AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the;

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Microsoft Hybrid Cloud Unleashed with Azure Stack and Azure

secure, high-performance hybrid cloud infrastructure. You'll discover how Azure Stack enables you to run data centers with the same scalability;

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Mastering Elastic Stack

who are familiar with the basics of Elasticsearch, Logstash, and Kibana, and now want to become an expert at using the Elastic stack for data;

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Intelligent Systems

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used;

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Learning ELK Stack

* Solve all your data analytics problems with the ELK stack * Explore the power of Kibana4 search and visualizations built over Elasticsearch;

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Big Data 2.0 Processing Systems

This book provides readers the big picture and a comprehensive survey of the domain of big data processing systems. For the past decade;

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Big Data 2.0 Processing Systems

This book provides readers the big picture and a comprehensive survey of the domain of big data processing systems. For the past decade;

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Machine Learning with the Elastic Stack

as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze search data effectively. With the addition;

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Azure Stack Hub Demystified

AZ-600 exam Configure and provide services from Microsoft Azure Stack Hub Implement data center integration with Microsoft Azure Stack Hub;

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Applied Speech Processing

undergraduate and post-graduate students as well.Includes basics of speech data analysis and management tools with several applications;

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An Architecture for Fast and General Data Processing on Large Clusters

, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a;

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An Architecture for Fast and General Data Processing on Large Clusters

, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a;

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Mastering Java for Data Science

stack, this book is for you! What You Will Learn * Get a solid understanding of the data processing toolbox available in Java * Explore;

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Advanced Data Acquisition and Intelligent Data Processing

. Advanced Data Acquisition and Intelligent Data Processing is ideal for personnel of firms deals with advanced instrumentation, energy consumption;

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