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Author: Ron Legarski
Publisher: SolveForce
ISBN:
Category : Computers
Languages : en
Pages : 182
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Book Description
The Comprehensive Guide to Databases offers an in-depth exploration into the dynamic world of database technology. This guide is designed for a wide audience, from beginners to seasoned professionals, aiming to enhance their understanding of database management. It covers the foundations of database technology, including relational databases, NoSQL solutions, and advanced topics such as distributed systems, big data analytics, and the role of AI and machine learning in database management. With detailed explanations of key concepts, practical applications, and real-world case studies, this book provides readers with the skills necessary to design, implement, and manage database systems effectively. The guide also looks toward the future of database technology, examining emerging trends like cloud databases, data security, and regulatory compliance, making it an essential resource for anyone looking to master the art of database management in the modern digital landscape.
Author: Ted Dunning
Publisher: O'Reilly Media
ISBN: 9781491914724
Category : Computers
Languages : en
Pages : 0
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Book Description
Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You'll explore the theory behind time series databases and learn practical methods for implementing them. Authors Ted Dunning and Ellen Friedman provide a detailed examination of open source tools such as OpenTSDB and new modifications that greatly speed up data ingestion. You'll learn: A variety of time series use cases The advantages of NoSQL databases for large-scale time series data NoSQL table design for high-performance time series databases The benefits and limitations of OpenTSDB How to access data in OpenTSDB using R, Go, and Ruby How time series databases contribute to practical machine learning projects How to handle the added complexity of geo-temporal data For advice on analyzing time series data, check out Practical Machine Learning: A New Look at Anomaly Detection, also from Ted Dunning and Ellen Friedman.
Author: Horst Bunke
Publisher: World Scientific
ISBN: 981448654X
Category : Computers
Languages : en
Pages : 205
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Book Description
Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed.
Author: Vaibhav S Dantale
Publisher: IBM Redbooks
ISBN: 0738437239
Category : Computers
Languages : en
Pages : 148
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Book Description
The world is becoming more and more instrumented, interconnected, and intelligent in what IBM® terms a smarter planet, with more and more data being collected for analysis. In trade magazines, this trend is called big data. As part of this trend, the following types of time-based information are collected: Large data centers support a corporation or provide cloud services. These data centers need to collect temperature, humidity, and other types of information over time to optimize energy usage. Utility meters (referred to as smart meters) allow utility companies to collect information over a wireless network and to collect more data than ever before. IBM Informix® TimeSeries is optimized for the processing of time-based data and can provide the following benefits: Storage savings: Storage can be optimized when you know the characteristics of your time-based data. Informix TimeSeries often uses one third of the storage space that is required by a standard relational database. Query performance: Informix TimeSeries takes into consideration the type of data to optimize its organization on disk and eliminates the need for some large indexes and additional sorting. For these reasons and more, some queries can easily have an order of magnitude performance improvement compared to standard relational. Simpler queries: Informix TimeSeries includes a large set of specialized functions that allow you to better express the processing that you want to execute. It even provides a toolkit so that you can add proprietary algoritms to the library. This IBM Redbooks® publication is for people who want to implement a solution that revolves around time-based data. It gives you the information that you need to get started and be productive with Informix TimeSeries.
Author: Kevin Rudolph
Publisher: GRIN Verlag
ISBN: 3656965757
Category : Technology & Engineering
Languages : en
Pages : 50
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Book Description
Research Paper (undergraduate) from the year 2015 in the subject Engineering - Industrial Engineering and Management, grade: 1,0, Technical University of Berlin (Wirtschaftsinformatik - Information Systems Engineering (ISE)), course: Seminar: Hot Topics in Information Systems Engineering, language: English, abstract: During the last years NoSQL databases have been developed to ad-dress the needs of tremendous performance, reliability and horizontal scalability. NoSQL time series databases (TSDBs) have risen to combine valuable NoSQL properties with characteristics of time series data encountering many use-cases. Solutions offer the efficient handling of data volume and frequency related to time series. Developers and decision makers struggle with the choice of a TSDB among a large variety of solutions. Up to now no comparison exists focusing on the specific features and qualities of those heterogeneous applications. This paper aims to deliver two frameworks for the comparison of TSDBs, firstly with a focus on features and secondly on quality. Furthermore, we apply and evaluate the frameworks on up to seven open-source TSDBs such as InfluxDB and OpenTSDB. We come to the result that the investigated TSDBs differ mainly in support- and extension related points. They share performance-enhancing techniques, time-related query capabilities and data schemas optimized for the handling of time-series data.
Author: Ron Legarski
Publisher: SolveForce
ISBN:
Category : Computers
Languages : en
Pages : 182
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Book Description
The Comprehensive Guide to Databases offers an in-depth exploration into the dynamic world of database technology. This guide is designed for a wide audience, from beginners to seasoned professionals, aiming to enhance their understanding of database management. It covers the foundations of database technology, including relational databases, NoSQL solutions, and advanced topics such as distributed systems, big data analytics, and the role of AI and machine learning in database management. With detailed explanations of key concepts, practical applications, and real-world case studies, this book provides readers with the skills necessary to design, implement, and manage database systems effectively. The guide also looks toward the future of database technology, examining emerging trends like cloud databases, data security, and regulatory compliance, making it an essential resource for anyone looking to master the art of database management in the modern digital landscape.
Author: Michael Kaufmann
Publisher: Springer Nature
ISBN: 3031279085
Category : Computers
Languages : en
Pages : 263
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Book Description
This textbook 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 upcoming innovations. In the first five chapters, the authors analyze in detail the management, modeling, languages, security, and architecture of relational databases, graph databases, and document databases. Moreover, an overview of other SQL- and NoSQL-based database approaches is provided. In addition to classic concepts such as the entity and relationship model and its mapping in SQL database schemas, query languages or transaction management, other aspects for NoSQL databases such as non-relational data models, document and graph query languages (MQL, Cypher), the Map/Reduce procedure, distribution options (sharding, replication) or the CAP theorem (Consistency, Availability, Partition Tolerance) are explained. This 2nd English edition offers a new in-depth introduction to document databases with a method for modeling document structures, an overview of the document-oriented MongoDB query language MQL as well as security and architecture aspects. The topic of database security is newly introduced as a separate chapter and analyzed in detail with regard to data protection, integrity, and transactions. Texts on data management, database programming, and data warehousing and data lakes have been updated. In addition, the book now explains the concepts of JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines and time series databases. The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. It conveys an in-depth comparison of relational and non-relational approaches and shows how to undertake development for big data applications. This way, it benefits students and practitioners working across the broad field of data science and applied information technology.
Author: Ramamohanarao Kotagiri
Publisher: Springer
ISBN: 354071703X
Category : Computers
Languages : en
Pages : 1143
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Book Description
This book constitutes the refereed proceedings of the 12th International Conference on Database Systems for Advanced Applications, DASFAA 2007, held in Bangkok, Thailand, April 2007. Coverage includes query language and query optimization, data mining and knowledge discovery, P2P and grid-based data management, XML databases, database modeling and information retrieval, Web and information retrieval, database applications and security.
Author: Rivero, Laura C.
Publisher: IGI Global
ISBN: 1591407958
Category : Education
Languages : en
Pages : 784
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Book Description
"Addresses the evolution of database management, technologies and applications along with the progress and endeavors of new research areas."--P. xiii.
Author: Zi Huang
Publisher: Springer
ISBN: 3319681559
Category : Computers
Languages : en
Pages : 299
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Book Description
This book constitutes the refereed proceedings of the 28th Australasian Database Conference, ADC 2017, held in Brisbane, QLD, Australia, in September 2017. The 20 full papers presented together with 2 demo papers were carefully reviewed and selected from 32 submissions. The mission of ADC is to share novel research solutions to problems of today’s information society that fulfill the needs of heterogeneous applications and environments and to identify new issues and directions for future research and development work. The topics of the presented papers are related to all practical and theoretical aspects of advanced database theory and applications, as well as case studies and implementation experiences.
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 152
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Book Description
Unleash the Power of Time-Series Data with "Mastering InfluxDB Database" In the dynamic world of data management, efficiently handling time-series data has become an essential skill. "Mastering InfluxDB Database" is your ultimate guide to mastering one of the most powerful time-series databases available – InfluxDB. Whether you're a seasoned data professional or a newcomer to time-series data management, this book equips you with the knowledge and skills needed to harness the true capabilities of InfluxDB. About the Book: "Mastering InfluxDB Database" takes you on an enlightening journey through the intricacies of time-series data management and InfluxDB. From the core concepts of time-series databases to advanced techniques in data modeling, querying, and optimization, this book covers it all. Each chapter is carefully crafted to provide a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Time-Series Data Fundamentals: Establish a solid foundation by exploring the core concepts of time-series data, its unique challenges, and how InfluxDB addresses them. · Data Organization: Learn how to design efficient schemas and measurement structures that optimize data storage and query performance. · InfluxQL and Flux: Master both InfluxDB's native query language (InfluxQL) and the more recent query language (Flux) for flexible and powerful data querying. · Continuous Queries and Retention Policies: Understand how to set up continuous queries and retention policies to manage data granularity and retention efficiently. · Data Exploration: Discover techniques for data exploration, visualization, and analysis to gain insights from your time-series data. · High Availability and Scalability: Dive into strategies for deploying high availability clusters and scaling InfluxDB to meet the demands of large-scale data. · Integration and Ecosystem: Explore how InfluxDB seamlessly integrates with other tools and frameworks, enabling you to build comprehensive data pipelines and applications. · Real-World Applications: Gain insights from a variety of real-world use cases, from IoT sensor data and monitoring systems to financial analytics and DevOps. · Administration and Security: Learn best practices for database administration, security, and backup, ensuring data integrity and user privacy. Who This Book Is For: "Mastering InfluxDB Database" is designed for data engineers, developers, database administrators, and anyone passionate about leveraging the power of time-series data. Whether you're new to time-series databases or aiming to enhance your expertise, this book provides the insights and tools to navigate the complexities of InfluxDB. Why You Should Read This Book: In a data landscape where time matters, InfluxDB stands out as a leader in time-series data management. "Mastering InfluxDB Database" empowers you to fully harness its potential, enabling you to build applications that depend on real-time insights, predictive analytics, and historical trend analysis. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
