Database design and theory
Explore the intricate world of database design and theory, essential for anyone aiming to master data management and organizational strategies. This genre focuses on the principles, best practices, and methodologies that govern the effective structure and functionality of databases, appealing to students, professionals, and enthusiasts alike.
SQL for Data Scientists: A Beginners Guide for Building Datasets for Analysis
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XGBoost. The Extreme Gradient Boosting for Mining Applications
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Bridging the Gap: Achieving Efficiency in a Data-Hungry Wireless World
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The Hidden Cost of Poor Mobile App Performance
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Beyond Testing: The Art and Science of Formal Verification
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Breached Trust: Protecting Privacy in an AI-Powered World
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From Chaos to Clarity: The Power of Data Segmentation Explained
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Seeing is Believing: How Visual Data Analysis Empowers Us in a Digital Age
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From Sensor Networks to Customer Clicks: How Online Learning Makes Sense of Real-Time Data
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Data Structures and the Java Collections Framework
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Modeling, Designing and Programming Database Applications: Relational, Entity-Relationship, SQL, DB and UI Programming
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Database Principles: Fundamentals of Design, Implementation, and Management
Craig Blewett, Carlos Coronel, Steven Morris, Keeley Crockett
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Principles of Data Management: Facilitating information sharing - Third edition
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Database Systems: A Pragmatic Approach, 3rd edition
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Oracle Database Programming with Java: Ideas, Designs, and Implementations
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Computational Design: Technology, Cognition and Environments
Michael J. Ostwald, Ning Gu, Rongrong Yu
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Spatial SQL: A Practical Approach to Modern GIS Using SQL
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Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype
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How to Find a Needle in a Haystack: From the Insider Threat to Solo Perpetrators
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Oracle Database Programming with Java: Ideas, Designs, and Implementations
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The Art of Data Science: A Practitioner's Guide
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The Art of Data Science: A Practitioners Guide
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Scaling Up with R and Apache Arrow: Bigger Data, Easier Workflows
Neal Richardson, Jonathan Keane, Nic Crane
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Scaling Up with R and Apache Arrow: Bigger Data, Easier Workflows
Neal Richardson, Jonathan Keane, Nic Crane
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Metaphor and Corpus Linguistics: Building and Investigating an English as a Medium of Instruction Corpus
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Demystifying Big Data Analytics for Industries and Smart Societies
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Technical Innovation and Modeling in the Biological Sciences
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Extended Windows Memory Dump Analysis: Using and Writing WinDbg Extensions, Database and Event Stream Processing, Data Science and Visualization, Machine Learning and AI, Second Edition
Software Diagnostics Services, Dublin School of Security, Dmitry Vostokov
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Category „Database design and theory“
Understanding the intricate world of database design and theory is essential for anyone looking to navigate the complexities of information management and data structuring. This category serves as a vital resource for students, professionals, and enthusiasts in computing and information technology, providing comprehensive insights into the principles that govern data organization and retrieval.
With the ever-expanding role of data in various fields, the study of database design has evolved significantly over the years, adapting to the needs of modern applications. As businesses increasingly rely on data-driven decision-making, mastering concepts related to both NoSQL databases and relational databases can empower users to select the right technologies for their specific needs. Understanding these different types of databases enhances one’s capability to manage data efficiently and effectively.
This category not only covers fundamental theories but also dives into practical applications, making it appealing to both novices and seasoned experts. Readers exploring the nuances of NoSQL databases will find discussions surrounding their flexibility and scalability particularly enlightening, while those delving into relational databases can appreciate the robustness and structured nature of traditional data management approaches. Each subtheme offers unique benefits, shaping how data is stored, queried, and utilized.
Renowned authors and publishers in the field contribute valuable knowledge, ensuring that the resources found here are both credible and enriching. By exploring this category, readers can deepen their understanding of database systems and elevate their skills, ultimately paving the way for innovation and efficiency in the realm of data management.