Advanced Data Management PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Advanced Data Management PDF full book. Access full book title Advanced Data Management by Lena Wiese. Download full books in PDF and EPUB format.
Author: Lena Wiese
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110441411
Category : Computers
Languages : en
Pages : 374
Get Book
Book Description
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.
Author: Lena Wiese
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110441411
Category : Computers
Languages : en
Pages : 374
Get Book
Book Description
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.
Author: Dr. DK Sukhani
Publisher: MeetCoogle
ISBN:
Category : Study Aids
Languages : en
Pages :
Get Book
Book Description
This book is useful for IGNOU MCA students.A perusal of past questions papers gives an idea of the type of questions asked, the paper pattern and so on, it is for this benefit, we provide these IGNOU MCS-043: Advance Database Management System Notes.Students are advised to refer these solutions in conjunction with their reference books. It will help you to improve your exam preparations. This book contains Object-based Databases: Object-Oriented Databases: Object-oriented data model, Object, Oriented Languages, Persistent Programming Languages. Object-Relational Databases: Nested Relations, Complex Types. Inheritance, Reference Types, Querying with Complex Types, Functions and Procedures Storage for Object Databases. Distributed Databases : Distributed Data Storage, Distributed Transactions, Commit protocol, Concurrency Control in Distributed Databases, Availability, Distributed Query Processing. Parallel Databases: I/O Parallelism, Interquery Parallelism, Intraquery Parallelism, Intraoperation Parallelism, Interoperation Parallelism, Design of Parallel Systems. Deductive Databases: Introduction to Recursive Queries, Theoretical Foundations, Recursive Queries with Negation, From Datalog to SQL, Evaluating Recursive Queries. PL/SQL basics, blocks, architecture, variables an constants, attributes, character set, PL/SQL sentence structure, data types, precompiler, conditional and sequential control statements, control structures, conditional control, sequential control, cursors, exceptions, triggers, procedures and packages. Published by MeetCoogle
Author: Bob O. Benn
Publisher: ASCE Publications
ISBN: 9780784475720
Category : Technology & Engineering
Languages : en
Pages : 420
Get Book
Book Description
Sponsored by the Committee on Advanced Data Collection and Management Systems of ASCE. This casebook offers examples of civil engineering practices in the acquisition and use of data obtained with advanced aerial and ground-based remote collection systems. The first section deals with remote sensing imagery and data utilization and applications to water resources site and route selection, environmental inventory, land use, and facilities. Specific applications include photobathymetry, landsat imagery, and energy-loss surveys using thermalĂinfrared technology. Noncontact and contact data collection and data relay systems are reviewed, along with surface temperature mapping, photogeodesy and hydrologic telemetry from remote areas. The final section presents discussions on data processing and its applications to both data organization and information extension.
Author: William Albert Hyman
Publisher: Transportation Research Board
ISBN: 9780309053594
Category : Highway engineering
Languages : en
Pages : 128
Get Book
Book Description
Author: Mr Vankamamidi Lakshmi Kartheek
Publisher: Nitya Publications
ISBN: 9391669085
Category : Computers
Languages : en
Pages : 275
Get Book
Book Description
This book aims to provide a broad DATABASE MANAGEMENT SYSTEMS AN ADVANCED PRACTICAL APPROACH for the importance of DATABASE MANAGEMENT SYSTEMS AN ADVANCED PRACTICAL APPROACH is well known in various engineering fields.
Author: Edward Omiecinski
Publisher: Chapman and Hall/CRC
ISBN: 9781439803806
Category : Computers
Languages : en
Pages : 350
Get Book
Book Description
Author: Mark Allen
Publisher: Morgan Kaufmann
ISBN: 0128011475
Category : Computers
Languages : en
Pages : 244
Get Book
Book Description
Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration. Provides a logical order toward planning, implementation, and ongoing management of multi-domain MDM from a program manager and data steward perspective. Provides detailed guidance, examples and illustrations for MDM practitioners to apply these insights to their strategies, plans, and processes. Covers advanced MDM strategy and instruction aimed at improving data quality management, lowering data maintenance costs, and reducing corporate risks by applying consistent enterprise-wide practices for the management and control of master data.
Author: Gao Cong
Publisher: Springer
ISBN: 3319691791
Category : Computers
Languages : en
Pages : 879
Get Book
Book Description
This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos.
Author: Louis Avery Schultheiss
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 528
Get Book
Book Description
Author: Adele Kuzmiakova
Publisher:
ISBN: 9781774698686
Category :
Languages : en
Pages : 0
Get Book
Book Description
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.
