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Real-Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the;

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Large-Scale Data Analytics

mining, supercomputing, hardware architecture, data visualization, statistics, and privacy. There is increasing need for new approaches and;

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Software Foundations for Data Interoperability and Large Scale Graph Data Analytics

This book constitutes refereed proceedings of the 4th International Workshop on Software Foundations for Data Interoperability, SFDI 2020;

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Cloud Analytics with Microsoft Azure

Learn to extract actionable insights from your big data in real time using a range of Microsoft Azure features Key Features Updated;

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Model Management and Analytics for Large Scale Systems

transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings;

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Real-Time Analytics

Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data;

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Big Data Analytics for Large-Scale Multimedia Search

data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for;

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Real-Time Big Data Analytics

use cases of real-time analytics versus batch analytics * Develop real-word use cases for processing and analyzing data in real-time using;

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Scalable Big Data Architecture

Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications , which involve web;

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Cloud Analytics with Microsoft Azure

Leverage the power of Azure to get efficient data insights from your big data in real time Key Features Explore the basics of cloud;

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Service-Oriented Distributed Knowledge Discovery

service-oriented data mining. The authors illustrate how to design services for data analytics, describe real systems for implementing distributed;

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Service-Oriented Distributed Knowledge Discovery

service-oriented data mining. The authors illustrate how to design services for data analytics, describe real systems for implementing distributed;

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Big Data Analytics for Sensor-Network Collected Intelligence

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to;

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Hands-On Big Data Analytics with PySpark

is forThis book is for developers, data scientists, business analysts, or anyone who needs to reliably analyze large amounts of large-scale, real;

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Large Scale and Big Data

currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses;

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Large Scale and Big Data

currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses;

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Machine Learning for Intelligent Multimedia Analytics

for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.;

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Adoption of Data Analytics in Higher Education Learning and Teaching

, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful;

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Advanced Data Analytics for Power Systems

learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and;

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Hands-On Data Science with R

ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science;

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Big Data Imperatives

justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI;

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Learning Google BigQuery

* Create tables and data sets dynamically using the BigQuery API * Perform real-time inserting of records for analytics using Python and C;

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Transactions on Large Scale Data and Knowledge Centered Systems XXII

of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six revised selected regular papers. Topics covered include algorithms for;

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Deep Learning for Data Analytics

of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;

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Big Data Analytics

needed to successfully leverage your data sets How to incorporate Big Data into a corporate culture Various public and private sources for data;

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Win With Advanced Business Analytics

Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and;

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Apache Spark for Data Science Cookbook

Over insightful 90 recipes to get lightning-fast analytics with Apache Spark About This Book * Use Apache Spark for data processing;

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