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Advanced Data Management

Author: Lena Wiese

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2015-10-29

Total Pages: 374

ISBN-13: 3110441411

Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions. This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.

Advanced Data Management: For Sql, Nosql, Cloud and Distributed Databases

Author: Adele Kuzmiakova

Publisher:

Published: 2023-12

Total Pages: 0

ISBN-13: 9781774698686

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Advanced data management has emerged as a crucial discipline in today's data-driven world. With the exponential growth of data and the constant evolution of technologies, organizations face complex challenges in effectively storing, retrieving, and analyzing vast amounts of information. From traditional relational databases to modern NoSQL solutions, as well as the integration of cloud and distributed architectures, advanced data management encompasses a wide array of techniques and technologies. Professionals in this field must possess a deep understanding of data modeling, query optimization, scalability, security, and the ability to navigate the complexities of managing data in diverse environments. By staying updated with the latest advancements and leveraging advanced data management techniques, organizations can harness the power of their data to gain valuable insights, improve decision-making processes, and drive innovation. "Advanced Data Management for SQL, NoSQL, Cloud, and Distributed Databases" is a comprehensive and insightful book that delves into the intricacies of managing data in the modern era. With the rapid advancement of technology, the need to effectively handle and analyze vast amounts of data has become increasingly vital. This book equips readers with the essential knowledge and skills to navigate the complexities of advanced data management. From the fundamentals of data management to exploring the relational data model, ETL processing, NoSQL databases, cloud databases, distributed database systems, and Database-as-a-Service (DBaaS), each chapter offers in-depth exploration and practical insights. Whether you are a seasoned practitioner or a newcomer to the field, this book provides a valuable resource to enhance your understanding and proficiency in managing data in SQL, NoSQL, cloud, and distributed databases.

Fast and Scalable Cloud Data Management

Author: Felix Gessert

Publisher: Springer Nature

Published: 2020-05-15

Total Pages: 199

ISBN-13: 3030435067

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The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly difficult as well. To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user). By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.

NoSQL

Author: Ganesh Chandra Deka

Publisher: CRC Press

Published: 2017-05-19

Total Pages: 653

ISBN-13: 1351651625

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This book discusses the advanced databases for the cloud-based application known as NoSQL. It will explore the recent advancements in NoSQL database technology. Chapters on structured, unstructured and hybrid databases will be included to explore bigdata analytics, bigdata storage and processing. The book is likely to cover a wide range of topics such as cloud computing, social computing, bigdata and advanced databases processing techniques.

Principles of Database Management

Author: Wilfried Lemahieu

Publisher: Cambridge University Press

Published: 2018-07-12

Total Pages: 817

ISBN-13: 1107186129

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Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

Data Management in the Cloud

Author: Divyakant Agrawal

Publisher: Morgan & Claypool Publishers

Published: 2012

Total Pages: 141

ISBN-13: 1608459241

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Cloud computing has emerged as a successful paradigm of service-oriented computing and has revolutionized the way computing infrastructure is used. This success has seen a proliferation in the number of applications that are being deployed in various cloud platforms. There has also been an increase in the scale of the data generated as well as consumed by such applications. Scalable database management systems form a critical part of the cloud infrastructure. The attempt to address the challenges posed by the management of big data has led to a plethora of systems.This book aims to clarify some of the important concepts in the design space of scalable data management in cloud computing infrastructures. Some of the questions that this book aims to answer are: the appropriate systems for a specific set of application requirements, the research challenges in data management for the cloud, and what is novel in the cloud for database researchers? We also aim to address one basic question: whether cloud computing poses new challenges in scalable data management or it is just a reincarnation of old problems? We provide a comprehensive background study of state-of-the-art systems for scalable data management and analysis. We also identify important aspects in the design of different systems and the applicability and scope of these systems. A thorough understanding of current solutions and a precise characterization of the design space are essential for clearing the "cloudy skies of data management" and ensuring the success of DBMSs in the cloud, thus emulating the success enjoyed by relational databases in traditional enterprise settings.

Principles of Distributed Database Systems

Author: M. Tamer Özsu

Publisher:

Published: 1999

Total Pages: 696

ISBN-13:

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Appropriate for courses in Distributed Databases, Distributed Data Management, and Advanced Database Systems. This text explores the development of distributed database management systems focusing on concepts and technical issues.

NoSQL

Author: Ganesh Chandra Deka

Publisher: CRC Press

Published: 2017-05-19

Total Pages: 408

ISBN-13: 1498784372

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NoSQL for Mere Mortals

Author: Dan Sullivan

Publisher: Pearson Education

Published: 2015

Total Pages: 546

ISBN-13: 0134023218

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NoSQL for Mere Mortals is an easy, practical guide to succeeding with NoSQL in your environment. Students are guided step-by-step through choosing technologies, designing high-performance databases, and planning for long-term maintenance. The author introduces each type of NoSQL database, shows how to install and manage them, and demonstrates how to leverage their features while avoiding common mistakes that lead to poor performance and unmet requirements. He uses four popular NoSQL databases as reference models: MongoDB, a document database; Cassandra, a column family data store; Redis, a key-value database; and Neo4j, a graph database.

SQL & NoSQL Databases

Author: Andreas Meier

Publisher: Springer

Published: 2019-07-05

Total Pages: 229

ISBN-13: 3658245492

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This 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. 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 systems The nature and uses of Big Data A high-level view of the organization of data management Data Modeling and Consistency Chapter-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. A full chapter probes the challenges of Ensuring Data Consistency, covering: Multi-User Operation Troubleshooting Consistency in Massive Distributed Data Comparison of the ACID and BASE consistency models, and more System 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. Post-Relational and NoSQL Databases The chapter on post-relational databases discusses the limits of SQL – and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases. A final chapter covers NoSQL Databases, along with Development of Non-Relational Technologies, Key-Value, Column-Family and Document Stores XML Databases and Graphic Databases, and more The 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 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. This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.