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We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that
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Build and manage AWS infrastructure using Terraform, AWS CLI, Boto3, and the AWS CDK to automate deployments, enhance reliability, and operate scalable cloud environmentsKey FeaturesUse a hands-on approach that mirrors real AWS operations with end-to-end examplesUse scripting and IaC to handle tasks like infrastructure deployment, credential rotation, backups, and resource cleanupManage complex ... Leer más

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Distributed Computing with Python

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de Francesco Pierfederici ...

Harness the power of multiple computers using Python through this fast-paced informative guideKey Features\[\*\] You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant\[\*\] Make use of Amazon Web Services along with Python to establish a powerful remote computation system\[\*\] Train Python to handle data-intensive and resource hungry ... Leer más

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Cassandra: The Definitive Guide, (Revised) Third Edition

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Google App Engine makes it easy to create a web application that can serve millions of people as easily as serving hundreds, with minimal up-front investment. With Programming Google App Engine, Google engineer Dan Sanderson provides practical guidance for designing and developing your application on Google’s vast infrastructure, using App Engine’s scalable services and simple development model ... Leer más

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Leverage microservices and Spring Boot 3 to build production-grade apps on the cloud. KEY FEATURES ● Step-by-step guide to transform your apps from monolithic to microservices architecture. ● Master microservice architecture, migration, and design patterns. ● Grasp the intricate workings of powerful tools like Feign Client, Resilience4J and the Cloud Config Service. ● Harness token-based ... Leer más

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Distributed Facts Device for Flow Controls

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Flexible ac Transmission Systems (FACTS) devices are used to control power flow in the transmission grid to relieve congestion and limit loop flows. High cost and reliability concerns have limited the widespread deployment of FACTS solutions. This paper introduces the concept of Distributed FACTS (D-FACTS) as an alternative approach to realizing cost-effective power flow control. By way of example ... Leer más

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Flexible ac Transmission Systems (FACTS) devices are used to control power flow in the transmission grid to relieve congestion and limit loop flows. High cost and reliability concerns have limited the widespread deployment of FACTS solutions. This paper introduces the concept of Distributed FACTS (D-FACTS) as an alternative approach to realizing cost-effective power flow control. By way of example
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Fundamentals of Software-Defined Networking

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Intelligent Analytics for Industry 4.0 Applications

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The advancements in intelligent decision-making techniques have elevated the efficiency of manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is revolutionizing the way companies manufacture, improve, and distribute their products. Manufacturers are integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and artificial ... Leer más

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An Interdisciplinary Approach to Modern Network Security

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Cognitive Radio

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Edición de Budati Anil Kumar, Peter Ho Chiung Ching, Shuichi Torii ...

The scarcity of radio spectrum is one of the most urgent issues at the forefront of future network research that is yet to be addressed. To address the problem of spectrum usage efficiency, the cognitive radio (CR) concept was proposed. The challenges of employing CRs include ensuring secure device operations and data transmission with advanced computing techniques. Successful development of CR ... Leer más

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The scarcity of radio spectrum is one of the most urgent issues at the forefront of future network research that is yet to be addressed. To address the problem of spectrum usage efficiency, the cognitive radio (CR) concept was proposed. The challenges of employing CRs include ensuring secure device operations and data transmission with advanced computing techniques. Successful development of CR
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Deep Learning in Genome Mapping

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Edición de Soumya Ranjan Nayak, Shailendra Pratap Singh, Jagendra Singh, Prabhishek Singh, Manoj Diwakar, Deepak Garg ...

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Models for Concurrency

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Concurrent systems are generally understood in terms of behavioral notions. Models for Concurrency analyzes the subject in terms of events and their temporal relationship rather than on global states. It presents a comprehensive analysis of model theory applied to concurrent protocols, and seeks to provide a theory of concurrency that is both intuitively appealing and rigorously based on ... Leer más

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Concurrent systems are generally understood in terms of behavioral notions. Models for Concurrency analyzes the subject in terms of events and their temporal relationship rather than on global states. It presents a comprehensive analysis of model theory applied to concurrent protocols, and seeks to provide a theory of concurrency that is both intuitively appealing and rigorously based on
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de Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles, Ananth Gundabattula ...

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$37.79 USD o gratis con Kobo Plus

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Distributed Facts Device for Flow Controls

Fundamentals of Software-Defined Networking

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An Interdisciplinary Approach to Modern Network Security

Cognitive Radio

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GPU-Accelerated Computing with Python 3 and CUDA

Hands-On GPU Programming with Python and CUDA

Ultimate Microsoft Intune for Administrators

Models for Concurrency

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Cloud Native Development Patterns and Best Practices

Cloud Computing

Ultimate ONNX for Deep Learning Optimization

Effective Monitoring and Alerting

Learning Apache Apex

Practical Data Science Environments with Python and R

Ultimate Azure IaaS for Infrastructure Management