May 1, 2024
Updated May 10, 2025
22 minute read
Structured data refers to information that is organized in a predefined manner, typically in a tabular format with rows and columns. This organization makes it readily searchable and analyzable by both humans and machines. Think of it like a well-organized spreadsheet where each piece of information has a specific place and meaning. This characteristic is fundamental to its widespread use in various applications, from simple record-keeping to complex data analytics.
s0edzi|
Find a path to becoming a Structured Data. Learn more at:
OpenCourser.com/topic/s0edzi/structured
Reading list
We've selected 27 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Structured Data.
The latest edition of this widely-used textbook provides updated coverage of database systems fundamentals, including recent concepts and technologies. It's an excellent resource for both students and professionals seeking a comprehensive and current understanding of structured data management. This must-read for a solid foundation.
Provides a comprehensive introduction to the fundamental concepts of database systems, covering data modeling, database design, and implementation techniques. It is widely used as a textbook in academic institutions and serves as a strong foundation for understanding how structured data is organized and managed in relational databases. This book is essential for gaining a broad understanding and valuable reference.
While not solely focused on traditional structured data, this book provides an in-depth look at the challenges and solutions for designing modern data systems. It covers various data storage and processing technologies, including relational databases, NoSQL databases, and stream processing. is excellent for understanding contemporary topics and deepening understanding in the context of large-scale data.
The latest edition of this practical SQL guide includes new chapters on SQL and big data, analytic functions, and working with very large databases. It's an updated resource for learning and mastering SQL for various data platforms, making it highly relevant for contemporary structured data work. This must-read for anyone working with SQL.
Provides a comprehensive overview of structured data on the Semantic Web, including its history, use cases, modeling languages, and storage formats. It also discusses advanced topics such as data integration, data quality, and data mining.
The second edition of this book on data governance incorporates industry changes and new approaches to designing, deploying, and sustaining an effective data governance program. It includes new case studies and explores capabilities for becoming data driven. This must-read for professionals responsible for managing data as an asset.
This updated edition of the SQL Cookbook includes revised recipes and new content reflecting the increased use of window functions and common table expressions. It remains a valuable resource for practical SQL solutions and techniques for working with structured data. It's an excellent reference for intermediate to advanced SQL users.
A practical resource offering solutions and techniques for common SQL challenges. goes beyond the basics, providing valuable recipes for complex queries and data manipulation. It's particularly useful for those looking to deepen their understanding of SQL's capabilities and great reference for developers and data analysts working with structured data.
Offers a beginner-friendly approach to learning SQL with a focus on data analysis and storytelling. It provides hands-on examples using PostgreSQL and is suitable for those who want to apply SQL skills to derive insights from structured data. It's a good resource for gaining a broad understanding through practical application.
Provides a practical and easy-to-understand guide to data modeling, a crucial step in designing effective structured data systems. It covers various modeling techniques and best practices. It's excellent for gaining a broad understanding of the design phase and is valuable for anyone involved in database design.
Ensuring the quality of structured data is paramount. provides a comprehensive overview of data quality concepts, methodologies, and techniques. It valuable resource for anyone involved in data management and is crucial for understanding how to maintain accurate and reliable structured data.
Delves into the theoretical underpinnings of the relational model and its relationship with SQL. Authored by a leading figure in database theory, it provides a deep understanding of the principles that ensure data accuracy and database integrity. It is more theoretical and best suited for those who want to deepen their understanding of the foundations of structured data management.
Provides a comprehensive guide to data modeling principles and techniques. It covers conceptual, logical, and physical modeling, offering a solid foundation for understanding how to structure data effectively. It's a valuable resource for deepening understanding in data design.
A classic in the field of data warehousing, this book focuses on dimensional modeling, a technique specifically for designing databases for analytical purposes. It's essential for understanding how structured data is organized and used in business intelligence and reporting.
Offers a concise overview of the different types of NoSQL databases and their use cases. It helps in understanding alternatives to traditional relational databases for managing structured and semi-structured data, which is highly relevant in contemporary data landscapes. It's useful for gaining a broader understanding of the diverse world of data storage options.
The second edition of this book provides updated information on graph databases, including new code samples and diagrams using the latest Neo4j syntax. It's a relevant resource for understanding and working with connected structured data in a graph database context. is useful for exploring contemporary data models.
A comprehensive guide to MongoDB, a popular NoSQL document database. covers data modeling, querying, and administering MongoDB. It's valuable for those interested in working with semi-structured data and understanding a key technology in the NoSQL space.
Teaches how to extract data from websites using Python, a common method for obtaining structured data from semi-structured or unstructured web content. It's a practical guide for a specific technique related to acquiring structured data. This book is useful for those interested in practical data collection methods.
Introduces graph databases and their applications for managing connected data. It explains the property graph model and the Cypher query language. This is highly relevant for understanding a specific type of structured data and its unique use cases, contributing to a broader understanding of data modeling beyond relational.
Provides a comprehensive overview of data mining, including its techniques, algorithms, and applications. It valuable resource for students and practitioners who want to learn more about data mining.
Explores the concepts and technologies behind the Semantic Web, focusing on RDF and OWL for creating and managing structured data on the web. It's relevant for understanding how structured data is being used to create a more interconnected web of data. This book dives into contemporary topics related to linked data.
Provides a comprehensive overview of data-intensive text processing with MapReduce, including its algorithms, programming models, and applications. It valuable resource for students and practitioners who want to learn more about data-intensive text processing.
Provides a comprehensive overview of data structures and algorithms for data mining, including their design, implementation, and applications. It valuable resource for students and practitioners who want to learn more about data structures and algorithms for data mining.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/s0edzi/structured
Save
