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Data Science

2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics;

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DAMA-DMBOK

The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective;

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Data Analytics

reviewed and selected from numerous submissions. The papers cover a wide range of topics such as data cleansing, data integration, data wrangling;

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Data Lake Development With Big Data

Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data;

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De voorleesreis

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Loi Sur Les Droits Numeriques 1.0

Data Rights Law 1.0 proposes a new concept -«data person». It defines «data rights» as rights derived from the «data person» and;

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Modern Data Strategy

This book contains practical steps business users can take to implement data management in a number of ways, including data governance;

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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 Science

This book, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data;

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Frontiers in Data Science

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the;

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Frontiers in Data Science

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the;

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Big Data Management

Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities;

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Practical Data Science

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data;

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Data Warehousing in the Age of Big Data

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing;

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Data Science

This book constitutes the refereed proceedings of the Second International Conference on Data Science, ICDS 2015, held in Sydney;

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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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Principles of Big Data

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental;

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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 Security, Data Mining & Data Management

In this book, the authors discuss the new technologies and challenges of data security, data mining and data management. Topics include;

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Data Lakes

The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to;

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Big Data BigData 2020

This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during;

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Data Science and Data Analytics

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and;

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Data Lake Analytics on Microsoft Azure

Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses;

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Big Data

As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how;

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Data Governance Success

While good data is an enterprise asset, bad data is an enterprise liability. Data governance enables you to effectively and proactively;

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Big Data

As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how;

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