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The Data Book

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members;

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The Data Book

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members;

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Quantitative Economics with R: A Data Science Approach

At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). The interplay;

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Social Big Data Analytics

, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the;

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Principles of Strategic Data Science

Take the strategic and systematic approach to analyze data to solve business problems Key Features Gain detailed information about the;

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Earth Observation Data Policy

data policy. The conditions which govern access to the data, distribution of the data and the price of the data are now vital to the;

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Pro Core Data For Ios

Fully updated for Xcode 4.2, Pro Core Data for iOS explains how to use the Core Data framework for iOS SDK 5 using Xcode 4.2. The book;

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Enterprise Data Architecture

This book is an essential read for Data Architects or indeed anyone wanting to improve the benefit that their organisation can derive from;

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Big Data in Complex and Social Networks

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks;

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Big Data in Complex and Social Networks

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks;

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Java for Data Science

Examine the techniques and Java tools supporting the growing field of data science About This Book * Your entry ticket to the world of data;

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Data Science for Healthcare

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical;

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The Complete Book of Data Anonymization

The Complete Book of Data Anonymization: From Planning to Implementation supplies a 360-degree view of data privacy protection using data;

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Big Data Factories

The book proposes a systematic approach to big data collection, documentation and development of analytic procedures that foster;

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Principles of Data Science

This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces;

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Data Structures with C++ Using STL

For CS2Data Structures courses using C++. This book uses a modern object-oriented approach to data structures, unified around the notion;

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Big Data and Visual Analytics

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;

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Data Analytics and Management

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM;

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Big Data and Law

This book is a legal practice guide for the collection, storage and analysis of personal and other data in Big Data applications. It;

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Mapping Data Flows in Azure Data Factory

Build scalable ETL data pipelines in the cloud using Azure Data Factory's Mapping Data Flows. Each chapter of this book addresses different;

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Data Librarians Handbook

The importance of data has never been greater. There has been a growing concern with the skills required to exploit the data surfeit; the;

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Practical Data Wrangling

Turn your noisy data into relevant, insight-ready information by leveraging the data wrangling techniques in Python and R About This;

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Data Analytics

Say goodbye to scratching your head in confusionThis data analytics book could be the answer you're looking for...

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Data Engineering with Apache Spark, Delta Lake, and Lakehouse

Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case;

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Hands-On Big Data Modeling

Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out;

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Big Data Preprocessing: Enabling Smart Data

problems. This book stresses the gap that exists between big, raw data and the requirements of quality data that businesses are demanding. This;

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Data Capital

This book defines and develops the concept of data capital. Using an interdisciplinary perspective, this book focuses on the key features;

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