Jewelry Concepts And Technology

The definitive reference for jewelry makers of all levels of ability--a complete, profusely illustrated guide to design, materials, and techniques, as well as a fascinating exploration of jewelry-making throughout history.

Since its initial appearance in 1961, Theorie und Praxis des Goldschmieds has become a standard for training goldsmiths and professional workshop practice, and is here translated from the 1994 edition. It discusses materials, basic techniques and tools, and such specific techniques as joining and pl

This book describes cloud computing as a service that is "highly scalable" and operates in "a resilient environment". The authors emphasize architectural layers and models - but also business and security factors.

"This reference expands the field of database technologies through four-volumes of in-depth, advanced research articles from nearly 300 of the world's leading professionals"--Provided by publisher.

(Symp. Seattle

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.

Enter the exciting intersection of technology and fashion known as wearable computing. Learn about the future of electronics in clothing and textiles, and be a part of creating that future! Crafting Wearables begins with the history of the field, then covers current practices and future trends. You will gain deeper insight into the strategy behind the design of wearable devices while learning about the tools and materials needed to start your own wearables toolbox. In a time when consumer electronics are becoming smaller and seamlessly integrated into our lives, it is important to understand how technology can improve and augment your lifestyle. Wearables are in a sense the most organic and natural interface we can design, yet there is still doubt about how quickly wearable technologies will become the cultural norm. Furthermore, skills that have become less valuable over the years, such as sewing, are making a return with the wearables movement. Gives a better understanding of wearable technology and how it has evolved Teaches basic skills and techniques to familiarize you with the tools and materials Showcases breakthrough designs and discoveries that impact our everyday interactions What You'll Learn Learn the history of how technology in fashion has evolved over time Discover interesting materials and fabrics for use in wearable technology Glimpse new tools for designing wearable technology and fashion Rediscover sewing and related skills that every wearables enthusiast should learn Learn how new techniques in textile manufacturing could disrupt the fashion industry Understand and respond to the cultural and societal developments around wearables Who This Book Is For The curious designer, engineer, or creative who is looking for insight into the world of fashion technology. It is for someone who wants to start exploring wearables with basic projects and dig deeper into the methods and tools of an expert. Crafting Wearables is intended to impart comprehensive general knowledge of the state of wearables in different industries while providing a well-curated list of example projects and resources by which to begin your personal journey into e-textiles. It is a wonderful read for those who are looking to expand their understanding of fashion and technology from both a hands-on and research-based perspective.

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data