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2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics;
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The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective;
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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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Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data;
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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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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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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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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 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 deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the;
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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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Vergelijkbare producten zoals The Complete Beginner's Guide of Data Mining, Data Analytics, and Data Science Step-by-step Beginner's Guide to Learn and Master Data Mining, Data Analytics, and 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 the Big Data will help you and your organization make the most of unstructured data with your existing;
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This book constitutes the refereed proceedings of the Second International Conference on Data Science, ICDS 2015, held in Sydney;
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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 helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental;
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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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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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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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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 is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and;
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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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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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