{"product_id":"sql-nosql-databases-models-languages-consistency-options-and-architectures-for-big-data-management-paperback","title":"SQL \u0026 Nosql Databases: Models, Languages, Consistency Options and Architectures for Big Data Management - Paperback","description":"\u003cp\u003eby \u003cb\u003eAndreas Meier\u003c\/b\u003e (Author), \u003cb\u003eMichael Kaufmann\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations.\u003c\/p\u003e \u003cp\u003eThe book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSQL and NoSQL databases, and their respective management systems\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eThe nature and uses of Big Data\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eA high-level view of the organization of data management\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e \u003cb\u003eData Modeling and Consistency \u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eChapter-length treatment is afforded Data Modeling in both relational and graph databases, including enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE (Query by Example), to integrity constraints and more.\u003c\/p\u003e \u003cp\u003eA full chapter probes the challenges of Ensuring Data Consistency, covering: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eMulti-User Operation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eTroubleshooting\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eConsistency in Massive Distributed Data\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eComparison of the ACID and BASE consistency models, and more\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eSystem Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multi-dimensional Data Structures and Parallel Processing with MapReduce, among other topics. \u003c\/p\u003e \u003cp\u003e\u003cb\u003ePost-Relational and NoSQL Databases\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe chapter on post-relational databases discusses the limits of SQL - and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases. \u003c\/p\u003e \u003cp\u003eA final chapter covers NoSQL Databases, along with\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDevelopment of Non-Relational Technologies, \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eKey-Value, Column-Family and Document Stores\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eXML Databases and Graphic Databases, and more\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eSQL \u0026amp; NoSQL Databases\u003c\/i\u003e conveys the strengths and weaknesses of relational and non-relational approaches, and shows how to undertake development for big data applications. The book benefits readers including students and practitioners working across the broad field of applied information technology.\u003c\/p\u003e\u003cp\u003eThis textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book introduces readers to the field of relational (SQL) and non-relational (NoSQL) databases. The main topics covered are data management, data modeling, query and manipulation languages, consistency, privacy and security, system architectures and multi-user operation. The book also provides an overview of post-relational and non-relational database systems. In addition to classic concepts, important aspects of NoSQL databases are discussed, such as map \/ reduce, distribution options (fragments, replication), and the CAP theorem (Consistency, Availability, and Partition tolerance). The book will benefit students looking for an introduction to the area of SQL and NoSQL databases, as well as practitioners, helping them better understand the strengths and weaknesses of relational and non-relational approaches and developments in connection with big data applications. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eContent \u003c\/p\u003eData Management - Data Modeling - Database Languages - Ensuring Data Consistency - System Architecture - Post-Relational Databases - NoSQL Databases\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe authors \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAndreas Meier\u003c\/b\u003e is a former member of the Faculty of Economics and Social Science and was a Professor of Information Technology at the University of Fribourg. He specializes in electronic business, electronic government, and information management. He is member of the GI (Gesellschaft für Informatik), IEEE Computer Society, and ACM.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMichael Kaufmann\u003c\/b\u003e is a Professor of Data Science and Big Data at the School of Information Technology, Lucerne University of Applied Sciences and Arts. He is also the coordinator of the university's Data Intelligence research team, which develops and studies methods and technologies for intelligent data management. \u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAndreas Meier\u003c\/b\u003e is a former member of the Faculty of Economics and Social Science and was a professor of Information Technology at the University of Fribourg. He specializes in electronic business, electronic government, and information management. He is member of the GI (Gesellschaft für Informatik), IEEE Computer Society, and ACM. After studying music in Vienna, he graduated with a degree in mathematics at the Federal Institute of Technology (ETH) in Zurich, studied his doctorate, and qualified as a university lecture at the Institute of Computer Science. He was a systems engineer at the IBM research lab in San José, California, director of an international bank, and a member of the executive board of an insurance company. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eMichael Kaufmann\u003c\/b\u003e is a Professor of Data Science and Big Data at the School of Information Technology, Lucerne University of Applied Sciences and Arts. He is also the coordinator of the university´s Data Intelligence research team, which develops and studies methods and technologies for intelligent data management. Michael Kaufmann studied computer science, law and psychology at the University of Fribourg. With extra-occupational doctoral studies, he received his Ph.D. in computer science on the topic of inductive fuzzy classification in marketing analytics. He worked at PostFinance as a data warehouse poweruser in corporate development; Later on at Mobiliar Insurance as a data architect in the enterprise architecture unit; and as a business analyst at FIVE Informatik AG, where he initiated and led a research project and started teaching as a part time lecturer at Kalaidos University of Applied Science. Since 2014 he has been working at the Lucerne University of Applied Sciences and Arts in teaching and research as a lecturer for databases, where he founded and successfully funded the research team data intelligence. \u003cbr\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 229\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.52 x 9.61 x 6.69 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 16, 2019\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42711329865791,"sku":"9783658245481","price":106.9,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/f9baa5996a28bd5e053bcb54ba67e441.webp?v=1765058118","url":"https:\/\/dhlswag.com\/products\/sql-nosql-databases-models-languages-consistency-options-and-architectures-for-big-data-management-paperback","provider":"BBB","version":"1.0","type":"link"}