Databases / Data management
This category encompasses essential resources for understanding databases and data management strategies, catering to both beginners and experienced professionals. It features a selection of texts that cover theoretical foundations and practical applications, making it a valuable asset for anyone looking to enhance their data handling skills and knowledge in the computing field.
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
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OCP Oracle Certified Professional Java SE 21 Developer Study Guide
Scott Selikoff, Jeanne Boyarsky
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Mastering PostgreSQL 17 - Sixth Edition: Elevate your database skills with advanced deployment, optimization, and security strategies
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Blockchain: Everything You Need to Know About Blockchain
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Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice
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SQL in a Week: A Fast-Track Guide to Writing and Optimizing Queries Like a Pro
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Introduction to the Design & Analysis of Algorithms
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PostgreSQL: Up and Running: A Practical Guide to the Advanced Open Source Database
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SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
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Introduction to Information Retrieval
Prabhakar Raghavan, Christopher D. Manning, Hinrich Schütze
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Attackers, Packets, and Puzzles: On Denial-of-Service Prevention in Local Area Networks
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Handbook of Research on Cloud Computing and Big Data Applications in IoT
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Data Mining and Machine Learning
Mohammed J. Zaki, Jr Wagner Meira
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Database Design and Implementation: Second Edition
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Demand-based Data Stream Gathering, Processing, and Transmission: Efficient Solutions for Real-Time Data Analytics in the Internet of Things
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Bandwidth-Aware Rescheduling Mechanism in SDN-based Data Center
Chiajui Hung, Ming-Chin Chuang
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Intelligent Frame Transmission Strategies in MAC Layer: Improving transmission efficiency for wired or wireless networks
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Survey of Multipath Routing and Multipath TCP Schemes in SDN
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Secure Data Access in Wireless Sensor Networks
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A Handover Framework for Heterogeneous Wireless Networks
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Power Management Protocols for Mobile Ad Hoc and Sensor Networks
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Key Management Mechanisms in Pay-TV Broadcasting Systems
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Streaming Databases: Building Real-Time, User-Facing Solutions
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Think Clearly: Eight Simple Rules to Succeed in the Data Age
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MariaDB 11 Essentials: Deploying and Managing Databases with MariaDB
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SQL Server 2025 Unveiled: The AI-Ready Enterprise Database with Microsoft Fabric Integration
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A×F Attitude × Form A Structural Theory of Human AI In teraction: A×F Attitude × Form: Eine strukturelle Theorie der Mensch KI-Interaktion
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Category „Databases / Data management“
Delving into the world of databases and data management opens a gateway to mastering the art of organizing and utilizing information effectively. This category caters to a diverse audience, from budding data scientists and IT professionals to seasoned developers seeking to enhance their skills and knowledge in this essential field of computing. As the backbone of modern computing applications, databases play a crucial role in storing, retrieving, and managing large volumes of data, which is indispensable for decision-making and operational efficiency in various industries.
The history of database technology spans several decades, evolving from simple file systems to complex, intricate systems designed to handle the demands of today’s data-driven society. With the rise of big data and cloud computing, understanding data management has become more vital than ever. Readers exploring this category will find resources that range from foundational concepts in database design and theory to advanced topics like distributed databases and database software, providing a comprehensive view of the discipline.
Each subtheme offers unique insights and practical applications. For those eager to learn about constructing efficient databases, the segments on database design and theory will prove invaluable, while experts in data capture and analysis will appreciate the resources dedicated to extracting meaningful information from raw data. Data warehousing and data mining sections empower readers to develop robust systems capable of handling vast amounts of information, ensuring efficient data retrieval and analysis.
The category also addresses the growing importance of object-oriented databases and the integration of databases and the Web, highlighting how modern applications are shifting toward more adaptable and user-friendly database solutions. Alongside these technical insights, readers will discover a variety of authors and publishers who contribute to this field, offering their expertise through well-researched books and practical guides tailored to meet the needs of both novices and experienced practitioners alike.
Engagement with these works not only builds technical proficiency but also fosters a deeper understanding of how effective data management strategies can drive innovation in various sectors. Embracing the resources available within this category will empower readers to navigate the complexities of data effectively, paving the way for impactful results in their careers and projects.