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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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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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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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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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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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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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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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Semiconductor-based Ultra-Fast All-Optical Signal Processing Devices -a key technology for the next generation of ultrahigh bandwidth;
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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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Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream;
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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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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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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: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the;
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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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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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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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* 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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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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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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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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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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undergraduate and post-graduate students as well.Includes basics of speech data analysis and management tools with several applications;
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, 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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, 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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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 is ideal for personnel of firms deals with advanced instrumentation, energy consumption;
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