Data Engineering – alle Bücher, Seite 7

Hiroshi Ishikawa
Hypothesis Generation and Interpretation

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discove…

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Derar Alhussein
Databricks Certified Data Engineer Associate Study Guide

Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business su…

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Denny Lee, Tristen Wentling, Scott Haines, Prashanth Babu
Delta Lake: The Definitive Guide

"Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts ove…

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Sakti Mishra, Dylan Qu, Anusha Challa
AWS Certified Data Engineer Associate Study Guide

There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in th…

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Lillian Pierson
Data & AI Imperative

Praise for Data & AI Imperative"In Data & AI Imperative , Lillian Pierson masterfully breaks down the complexities and challenges of data and AI strategy. The book offers practical guidance l…

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Proceedings of the Third International Conference on Advances in Computing Research (ACR'25)

This book concentrates on advances in research in the areas of computational intelligence, cybersecurity engineering, data analytics engineering, network and communications, cloud and mobile computing, so…

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Human Privacy in Virtual and Physical Worlds

This open-access book is premised on the belief that understanding and protecting privacy requires a multidisciplinary approach. The editors of this contributed book believe that privacy is a 'wicked prob…

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Statistical Machine Learning for Engineering with Applications

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design o…

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Software Engineering: Emerging Trends and Practices in System Development

This book discovers peer-reviewed research from an international research conference that unites experts in software engineering, data science, artificial intelligence, cybernetics, and informatics.This b…

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Software Engineering: Emerging Trends and Practices in System Development

Lecture Notes in Networks and Systems - Band 1563

This book discovers peer-reviewed research from an international research conference that unites experts in software engineering, data science, artificial intelligence, cybernetics, and informatics.This b…

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Analytics Modeling in Reliability and Machine Learning and Its Applications

This book presents novel research and application chapters on topics in reliability, statistics, and machine learning. It has an emphasis on analytical models and techniques and practical applications in …

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Extended Reality and Serious Games for Education, Competitiveness, and Wellbeing

These proceedings from the Seventh International Conference of Systems Engineering (CIIS 2024) present scientific and technological innovations by leading academicians, researchers, and experts, establish…

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Computer Science - CACIC 2024

Communications in Computer and Information Science - Band 2520

This book constitutes the refereed proceedings of the 30th Argentine Congress of Computer Science on Computer Science - CACIC 2024, held in La Plata, Argentina, during October 7--10, 2024.The 29 full pape…

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Energy Futures

Everyday life as we knew it is increasingly challenged in a world of climate, social, health and political crisis. Emerging technologies, data analytics and automation open up new possibilities which have…

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Stochastic Analysis and Applications 2025

This book presents a selection of cutting-edge contributions from leading experts in the field, capturing the latest developments in stochastic analysis and its growing interface with neighboring discipli…

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Omar Hijab
Math for Data Science

Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer scienc…

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Steven E. Rigdon, Jr Ronald D. Fricker, Douglas C. Montgomery
Introduction to Probability and Statistics for Data Science

Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, e…

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