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SQL & NoSQL Databases: Models, Languages, Consistency Options and Architectures for Big Data Management,Used
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This book offers a comprehensive introduction to relational (SQL) and nonrelational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations.The book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types:SQL and NoSQL databases, and their respective management systemsThe nature and uses of Big DataA highlevel view of the organization of data managementData Modeling and ConsistencyChapterlength treatment is afforded Data Modeling in both relational and graph databases, including enterprisewide 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.A full chapter probes the challenges of Ensuring Data Consistency, covering:MultiUser OperationTroubleshootingConsistency in Massive Distributed DataComparison of the ACID and BASE consistency models, and moreSystem Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multidimensional Data Structures and Parallel Processing with MapReduce, among other topics.PostRelational and NoSQL DatabasesThe chapter on postrelational databases discusses the limits of SQL and what lies beyond, including MultiDimensional Databases, Knowledge Bases and and Fuzzy Databases.A final chapter covers NoSQL Databases, along withDevelopment of NonRelational Technologies,KeyValue, ColumnFamily and Document StoresXML Databases and Graphic Databases, and moreThe book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading.SQL & NoSQL Databases conveys the strengths and weaknesses of relational and nonrelational 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.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
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