Databases

Dieses Lehrbuch gibt einen fundierten Einblick sowohl in die Architektur und Entwicklung eines Data-Warehouse-Systems als auch in den gesamten Ablauf des Data-Warehouse-Prozesses - vom Laden der Daten bis zu deren Auswertung.

This book aims to bring together a collection of innovative and cutting-edge research that addresses the various challenges in the application and theoretical aspects of ChatGPT in education.

Buckle up for a fascinating journey through layers of insight and metaphors that explain the past, present, and future of the Web.

Buckle up for a fascinating journey through layers of insight and metaphors that explain the past, present, and future of the Web.

In competitive manufacturing industries, organizations embrace product development as a continuous investment strategy since both market share and profit margin stand to benefit.

Exploring many aspects of blockchain technologies and providing an overview of the latest cuttingedge developments along with their diversified business applications, this volume addresses the challenges, emerging issues, and problems in classical centralized architecture and covers how blockchain platforms provide almost magical solutions and novel services for improving business processes.

Exploring many aspects of blockchain technologies and providing an overview of the latest cuttingedge developments along with their diversified business applications, this volume addresses the challenges, emerging issues, and problems in classical centralized architecture and covers how blockchain platforms provide almost magical solutions and novel services for improving business processes.

Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis.

Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis.

Planning and reporting solutions in many companies still suffer from poor data quality, are insufficiently integrated and are often time and cost intensive.

This book seeks to give readers with a preliminary but critical introduction and summary of e-commerce and big data analysis.

This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science.

This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning.

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing.

This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning.

This book is intended as an introduction to a versatile model for temporal data.

This book provides detailed guidance around architecting and deploying Power BI reporting solutions, including help and best practices for sharing and security.

This book constitutes the refereed proceedings of the 12th Conference on Information Technology and its Applications, CITA 2023, taking place on July 28-29, 2023 in Da Nang City, the most beautiful and livable city in Vietnam.

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing.

Der Arbeitsplatz der Zukunft wird immer stärker durch die Wissensarbeit geprägt.

Planning and reporting solutions in many companies still suffer from poor data quality, are insufficiently integrated and are often time and cost intensive.

This book seeks to give readers with a preliminary but critical introduction and summary of e-commerce and big data analysis.

This book highlights various aspects of building construction industry based on data from field studies.

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2023), organized by Techno International, Kolkata, India, during May 11-13, 2023.

This book highlights various aspects of building construction industry based on data from field studies.

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2023), organized by Techno International, Kolkata, India, during May 11-13, 2023.

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata.

Learn how to build interactive, data-driven websiteseven if you dont have any previous programming experience.

This book provides an introduction to computer-based methods for the analysis of genomic data.

This book presents a comprehensive overview of Natural Language Interfaces to Databases (NLIDBs), an indispensable tool in the ever-expanding realm of data-driven exploration and decision making.

This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R.

To meet the food requirements of the growing population worldwide, the agricultural domain is being technologically empowered to produce more with fewer resources and investments.

In today's fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success.

This book is a complete guide to using functions in Power Query and is designed to help users of all skill levels learn and master its various functions.

This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform.

In today's world, organizations face a multitude of problems that require an unprecedented need for tools to share information and work better together.

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata.

This book features selected papers from the 9th International Conference on Mathematics and Computing (ICMC 2023), organized at BITS Pilani K.

This book features selected papers from the 9th International Conference on Mathematics and Computing (ICMC 2023), organized at BITS Pilani K.

Systems administrators, librarians, and library staff will learn key principles and methods for securing their ILS and understand how to configure and optimize their library catalog by improving data management practices, streamlining existing workflows, and documenting their system's configuration.

This richly illustrated book examines the full potential of Digital Twins (DTs) as a means of creating more sustainable urban habitats.

This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins.

This richly illustrated book examines the full potential of Digital Twins (DTs) as a means of creating more sustainable urban habitats.

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling.

This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks.

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling.

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries.

This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology.

Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage.

Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage.