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Efficient Time Series Data Management With Timescaledb


Efficient Time Series Data Management With Timescaledb
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Efficient Time Series Data Management With Timescaledb


Efficient Time Series Data Management With Timescaledb
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-13

Efficient Time Series Data Management With Timescaledb written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-13 with Computers categories.


"Efficient Time-Series Data Management with TimescaleDB" "Efficient Time-Series Data Management with TimescaleDB" is a definitive guide to mastering scalable, reliable, and high-performance time-series solutions using TimescaleDB. Navigating the complexities of time-series data—from IoT, observability, finance, and real-time monitoring to scientific workloads—this book offers a comprehensive exploration of data modeling challenges, storage architectures, and query optimization strategies within the PostgreSQL ecosystem. Readers are introduced to core time-series principles, advanced partitioning techniques, and performance tuning methodologies crucial for managing massive volumes of temporally indexed information. The book delves deeply into TimescaleDB’s architecture, highlighting how it extends PostgreSQL with powerful constructs such as hypertables, chunk partitioning, and space-time compression strategies. Key topics include schema design for high cardinality, efficient data ingestion pipelines, and the use of advanced indexing techniques tailored for time-centric data. Best practices for ensuring data integrity, supporting schema evolution, integrating external sources, and leveraging continuous aggregates for analytics empower practitioners to build robust, future-ready infrastructures. Addressing every stage of the data lifecycle, this volume covers security, compliance, high availability, disaster recovery, and automation for seamless deployment across bare metal, cloud, and Kubernetes environments. Advanced chapters guide readers through integration with popular data processing ecosystems, programmable extensions, and emerging trends in edge, serverless, and multi-cloud architectures. Whether you are an architect, developer, or database administrator, this book equips you with the knowledge and real-world patterns necessary to elevate your time-series data management with TimescaleDB.



Practical Timescaledb Solutions


Practical Timescaledb Solutions
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-20

Practical Timescaledb Solutions written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.


"Practical TimescaleDB Solutions" "Practical TimescaleDB Solutions" is a comprehensive guide designed for architects, engineers, and data practitioners aiming to build robust, scalable, and efficient time-series database solutions with TimescaleDB. Beginning with a deep dive into the fundamentals of time-series data and the powerful synergies between TimescaleDB and PostgreSQL, this book walks readers through foundational architecture concepts, deployment best practices, and the vibrant TimescaleDB ecosystem. Real-world case studies from sectors like IoT, observability, and finance illuminate how modern organizations are leveraging TimescaleDB to manage ever-increasing volumes of temporal data. The heart of this book is its hands-on, solutions-oriented approach to advanced schema design, high-velocity data ingestion, query optimization, and analytical patterns. Readers gain actionable insights into designing performant hypertable schemas, optimizing for high-cardinality workloads, and handling schema evolution in production. Ingest strategies are detailed with practical examples for both bulk historical loads and real-time streaming, alongside advanced guidance for deduplication, conflict resolution, and ingest monitoring. Extensive coverage of analytical techniques—ranging from continuous aggregates and downsampling to third-party BI tool integrations—equips readers to extract timely, actionable insights from their time-series data. Beyond data modeling and analytics, "Practical TimescaleDB Solutions" explores the full operational landscape: distributed scaling, storage lifecycle management, security and compliance, automation, and monitoring. From architecting multi-node deployments in the cloud and managing hot/cold data lifecycle, to implementing fine-grained access control, encryption, and compliance with industry regulations, every chapter provides pragmatic solutions reinforced with platform-specific best practices. Whether migrating from legacy systems or fine-tuning for high availability, this book is an indispensable resource for mastering TimescaleDB in demanding, production-ready environments.



Database Systems For Advanced Applications


Database Systems For Advanced Applications
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Author : Xin Wang
language : en
Publisher: Springer Nature
Release Date : 2023-04-13

Database Systems For Advanced Applications written by Xin Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Computers categories.


The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China. The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15 industrial papers, 15 demo papers and 4 PhD consortium papers are included. The conference presents papers on subjects such as model, graph, learning, performance, knowledge, time, recommendation, representation, attention, prediction, and network.



Advanced Sql Queries


Advanced Sql Queries
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-10-26

Advanced Sql Queries written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Computers categories.


"Advanced SQL Queries: Writing Efficient Code for Big Data" is an essential guide for data professionals seeking to deepen their expertise in SQL amidst the complexities of Big Data environments. This comprehensive book navigates the intricacies of advanced SQL techniques and performance optimization, equipping readers with the skills needed to manage and analyze vast datasets effectively. From learning to write complex queries and mastering data warehousing techniques to exploring SQL's integration in NoSQL environments, the book provides a detailed roadmap to harnessing the full potential of SQL in data-intensive scenarios. Through a structured approach, this book delves into the evolving landscape of SQL, addressing contemporary challenges such as real-time data management, security, and data governance. It also sheds light on future trends, including the interplay of AI and machine learning with SQL, ensuring that readers stay ahead of technological shifts. Suitable for both emerging data scientists and experienced database administrators, "Advanced SQL Queries" serves as a vital resource to elevate one’s proficiency, enabling professionals to drive data-driven insights and decisions with confidence and precision.



Database Management Using Ai A Comprehensive Guide


Database Management Using Ai A Comprehensive Guide
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Author : A Purushotham Reddy
language : en
Publisher: A Purushotham Reddy
Release Date : 2024-10-20

Database Management Using Ai A Comprehensive Guide written by A Purushotham Reddy and has been published by A Purushotham Reddy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-20 with Computers categories.


Database Management Using AI: The Ultimate Guide for Data Professionals Database Management Using AI: A Comprehensive Guide is an essential resource for anyone eager to explore how artificial intelligence (AI) is revolutionizing the field of database management. This book caters to a wide audience, from database administrators, data scientists, and tech enthusiasts to professionals looking to integrate AI into their data management practices. It offers a professional yet easily understandable exploration of how AI is transforming modern data systems. The guide starts by laying a solid foundation in database management fundamentals, covering key concepts such as data models, SQL, and database design principles. It then delves into how AI can optimize database performance, enhance security, and automate complex tasks like data retrieval, query optimization, and schema design. With this book, readers will gain deep insights into integrating AI with traditional database systems and how AI tools are shaping the future of data management. Unlike other books that focus purely on theory, this guide stands out by emphasizing real-world applications. Through practical case studies, it demonstrates how AI-driven database systems are being leveraged across industries such as e-commerce, healthcare, finance, and logistics. These case studies show the real-world impact of AI, helping businesses increase efficiency, reduce errors, and make smarter, data-backed decisions. The book illustrates how AI is enabling organizations to stay ahead in a competitive market by harnessing the power of intelligent database management. Throughout the guide, readers will learn about the evolution of database systems, including the shift from relational databases to modern NoSQL databases, and how AI is enhancing traditional database models to meet the demands of the digital age. The book explores how AI integration in databases is transforming how data is processed and analyzed, automating repetitive tasks and improving the scalability and performance of databases. One of the key highlights of this book is the coverage of AI in database management. Readers will learn how AI is being used to automate routine database tasks, improve security by predicting and mitigating threats, and streamline database management operations through automation. Additionally, the book delves into how AI helps in predictive analytics and data mining, uncovering hidden patterns and enabling organizations to make accurate predictions based on large volumes of data. The book also covers predictive analytics and data mining, teaching readers how AI tools can be used to extract valuable insights from data, identify trends, and uncover business opportunities that were previously hard to detect. By understanding how AI can leverage data to drive business intelligence, readers will be able to implement AI-driven solutions that improve decision-making processes. Furthermore, this guide explores the future of database management with AI. It takes a close look at emerging trends, including autonomous databases and the growing role of cloud-based AI solutions in shaping the future of data management. These innovative technologies are creating intelligent, self-managing databases that are poised to revolutionize how data is stored, processed, and analyzed. Database Management Using AI provides readers with the knowledge and practical skills needed to navigate the fast-evolving landscape of AI-powered databases. Whether you're an industry professional or a student, this book is packed with actionable insights that will keep you ahead in the digital world. It’s a must-have resource for anyone looking to understand the practical impact of AI on database systems and harness the power of machine learning, big data, and cloud computing to transform their approach to data management. With its combination of clear explanations, real-world case studies, and forward-looking insights, this book is the ultimate guide for anyone wanting to stay competitive in the digital age. Database Management Using AI is more than just a book—it's an essential tool for anyone serious about mastering the future of data systems. Refer www.latest2all.com for details...



Designing Secure And Scalable Iot Systems


Designing Secure And Scalable Iot Systems
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-03

Designing Secure And Scalable Iot Systems written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-03 with Computers categories.


"Designing Secure and Scalable IoT Systems" "Designing Secure and Scalable IoT Systems" is a comprehensive guidebook for architects, engineers, and technology leaders seeking to build robust Internet of Things (IoT) applications that meet demanding standards of security, performance, and manageability. Spanning foundational principles through advanced topics, this book examines contemporary IoT architectures, modular system decomposition, and coordination across edge, fog, and cloud environments. It explores event-driven and resilient design patterns, emphasizing scalable data and control plane separation to ensure reliability in rapidly evolving, distributed ecosystems. Central to this work is an in-depth treatment of IoT security fundamentals, including threat modeling, device authentication, lightweight cryptography, secure provisioning, and end-to-end communication protocols. The book rigorously addresses privacy-by-design methodologies, intrusion detection, secure firmware management, and regulatory compliance, equipping readers to anticipate and defend against modern threats while balancing innovation and trust. Advanced security challenges are explored, with insights into zero trust models, quantum-resistant cryptography, anomaly detection, and privacy engineering for compliance with global standards such as GDPR. Beyond security, the book covers every facet of scalable IoT operations — from network design and data management to device lifecycle orchestration, cloud-native deployment, and operational excellence. Readers will find practical strategies for self-healing networks, federated learning, blockchain integration, and sustainable operation at scale. Concluding with emerging trends like decentralized AI, next-generation connectivity, and ethical impact analysis, "Designing Secure and Scalable IoT Systems" serves as an indispensable reference for navigating the complexities and opportunities of next-generation IoT deployments.



Postgresql Foundations


Postgresql Foundations
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-18

Postgresql Foundations written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Computers categories.


"PostgreSQL Foundations" "PostgreSQL Foundations" is an authoritative guide for database professionals, architects, and developers seeking a comprehensive and practical understanding of PostgreSQL. This expertly structured book delves deeply into the heart of the PostgreSQL ecosystem, starting with its internal architecture, memory management, storage organization, and the principles that underpin its durability and transactional integrity. Readers are led from first principles to advanced internal mechanisms such as multi-version concurrency control (MVCC), extensibility, and system catalogs, providing both the theoretical context and the pragmatic insights required to fully leverage PostgreSQL’s powerful design. Spanning every aspect of PostgreSQL administration, the book thoroughly covers installation and configuration across diverse platforms, best practices for security and authentication, and strategies for logging, monitoring, routine maintenance, and seamless version upgrades. Advanced chapters focus on sophisticated data modeling, partitioning strategies, and indexing, as well as SQL mastery, procedural programming, and external integration—empowering readers to design robust schemas and write efficient, maintainable queries. Practical guidance on backup, replication, disaster recovery, high availability architectures, as well as scaling vertically and horizontally, equip practitioners to build and sustain resilient, high-performance environments. The final chapters place PostgreSQL in the wider context of the modern data ecosystem, with in-depth coverage of cloud-native deployments, DevOps integration, microservices, observability, and community-driven extensions. With an eye to the future, the book concludes with emerging trends and a forward-looking roadmap, making it not only an essential reference for today’s data challenges but also a guide for tomorrow’s opportunities. Whether building your first production system or optimizing a global data platform, "PostgreSQL Foundations" offers the definitive foundation for mastering one of the world’s most advanced open source databases.



Geospatial Technologies In Coastal Ecologies Monitoring And Management


Geospatial Technologies In Coastal Ecologies Monitoring And Management
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Author : Kousik Das Malakar
language : en
Publisher: Springer Nature
Release Date : 2025-07-01

Geospatial Technologies In Coastal Ecologies Monitoring And Management written by Kousik Das Malakar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Science categories.


This book contributes to the advancement of scientific knowledge by demonstrating how geospatial technologies can support more effective coastal planning and management. These technologies, such as remote sensing, GIS, and GNSS, play a vital role in monitoring coastal ecosystems and offer powerful tools for data collection, analysis, visualization, and decision-making. They enhance the understanding of coastal needs and enable more informed and sustainable management strategies. Intended for scientists, professionals, researchers, planners, students, and the general public, the book promotes a deeper understanding of how geospatial tools address contemporary coastal challenges. It also emphasizes inclusive decision-making and supports the development of strategies for sustainable socio-ecological coastal systems. The book is structured into six parts. Part One introduces the fundamentals of remote sensing, including sensor networks, satellite systems, aerial imaging, photogrammetry, and air photo interpretation. Part Two covers key GIS concepts, data analysis, database management, digital image processing, and participatory GIS. Part Three explores GNSS and GPS techniques. Part Four discusses the application of geospatial tools in coastal ecological monitoring and management. Part Five presents real-world case studies and field narratives that explore a range of topics, including climatic trend analysis, shoreline dynamics modelling, mangrove canopy health, coastal land use and land cover changes, land surface temperature variations, ecological transformations, mangrove-human conflicts, climate adaptation strategies, the management of climate gaps, spatial considerations in coastal zone management, and the role of climate communication in shaping coastal narratives. And finally, Part Six examines the evolving nature of coastal research, highlighting the role of GIScience in transdisciplinary approaches and strategic decision-making.



Data Management And Ai Integration


Data Management And Ai Integration
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Author : Mr.Balakiran Chalasani
language : en
Publisher: SK Research Group of Companies
Release Date : 2025-06-27

Data Management And Ai Integration written by Mr.Balakiran Chalasani and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Computers categories.


Author: Mr.Balakiran Chalasani Published by: SK Research Group of Companies, Madurai 625003, Tamil Nadu, India. Edition Details (I,II,III etc): I Copyright © SK Research Group of Companies, Madurai 625003, Tamil Nadu, India.



Data Management Technologies And Applications


Data Management Technologies And Applications
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Author : Slimane Hammoudi
language : en
Publisher: Springer Nature
Release Date : 2020-07-29

Data Management Technologies And Applications written by Slimane Hammoudi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-29 with Computers categories.


This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Data Management Technologies and Applications, DATA 2019, held in Prague, Czech Republic, in July 2019. The 8 revised full papers were carefully reviewed and selected from 90 submissions. The papers deal with the following topics: decision support systems, data analytics, data and information quality, digital rights management, big data, knowledge management, ontology engineering, digital libraries, mobile databases, object-oriented database systems, and data integrity.