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Big Scientific Data Benchmarks, Architecture, and Systems

This book constitutes the refereed proceedings of the First Workshop on Big Scientific Data Benchmarks, Architecture, and Systems, SDBA;

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Big Data Benchmarks, Performance Optimization, and Emerging Hardware

This book constitutes the thoroughly revised selected papers of the 6th workshop on Big Data Benchmarks, Performance Optimization, and;

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Systems Simulation and Modeling for Cloud Computing and Big Data Applications

> Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and;

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OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence

presented in this book were carefully reviewed and selected from 14 submissions. The papers discuss a variety of ideas for extending the OpenSHMEM;

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Data Architecture: A Primer for the Data Scientist

Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply;

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Big Scientific Data Management

This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 2018, held;

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Emerging Technology and Architecture for Big-data Analytics

This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The;

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Emerging Technology and Architecture for Big data Analytics

This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The;

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Software Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software;

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High Performance Big Data Computing

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning.

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Security and Privacy for Big Data, Cloud Computing and Applications

As big data becomes increasingly pervasive and cloud computing utilization becomes the norm, the security and privacy of our systems and;

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Big Data

of facilitating the scientific research and engineering design of Big Data systems, the book consists of two parts. Part I, Big Data Management, addresses;

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Big Data

goal of facilitating the scientific research and engineering design of Big Data systems, the book consists of two parts. Part I, Big Data;

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Obtaining Value from Big Data for Service Systems, Volume II

. It discusses the technical architecture necessary to implement a big data analysis capability, some issues and challenges in big data;

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Data Architecture: A Primer for the Data Scientist

Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a;

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Fast Data Processing Systems with SMACK Stack

developer, data architect, or a data scientist looking for information on how to integrate the Big Data stack architecture and how to choose the;

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Big Data Technologies and Applications

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data;

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Modern Big Data Architectures

Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too;

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Scalable Big Data Architecture

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term Big Data;

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Big Data

Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional;

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Big Data SMACK

Learn how to integrate full-stack open source big data architecture and to choose the correct technology-Scala/Spark, Mesos, Akka;

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Big Data Benchmarking

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Big Data Benchmarking, WBDB;

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Optimization and Control for Systems in the Big-Data Era

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization;

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Big Data

as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data;

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Big Data Analytics for Sensor-Network Collected Intelligence

events, how to examine people's behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture;

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Big Data for Urban Sustainability

This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions;

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Big Data for Urban Sustainability

This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions;

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