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Semi-Structured Data

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May 1, 2024 3 minute read
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Semi-Structured Data is a type of data that has a flexible and adaptable structure, making it easier to handle and analyze than fully structured or unstructured data. Unlike structured data, which is stored in a rigid format with predefined fields and schemas, and unstructured data, which lacks any discernible structure, semi-structured data offers a balance between the two extremes. It allows for customizable fields and flexible schemas, providing greater flexibility for storing and managing data.

Why Learn Semi-Structured Data?

There are several compelling reasons to learn about Semi-Structured Data:

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Reading list

We've selected five 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 Semi-Structured Data.
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Big Data, Big Analytics
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Provides a practical guide to using Hadoop, Spark, and machine learning for big data analytics. It includes a chapter on semi-structured data and how to handle it using these technologies.
Big Data, Big Analytics: Emerging Business...
Hardcover
$$
Big Data, Big Analytics: Emerging Business...
Kindle Edition
$$
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Linked Data
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Provides a comprehensive overview of linked data, including the use of RDF and OWL. It is suitable for advanced readers who want to learn more about the technical challenges of managing linked data.
Linked Data: Evolving the Web into a Global Data...
Paperback
$$
Linked Data (Synthesis Lectures on the Semantic Web...
Paperback
$$$$
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A Semantic Web Primer, third edition
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Provides a comprehensive overview of the semantic web, including the use of RDF and OWL. It is suitable for advanced readers who want to learn more about the technical challenges of managing semantic web data.
A Semantic Web Primer, third edition (Information...
Hardcover
$$$
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Web Data Management
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Provides a comprehensive overview of web data management, including the use ofRDF and OWL. It is suitable for advanced readers who want to learn more about the technical challenges of managing web data.
Web Data Management
Paperback
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Web Data Management
Kindle Edition
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Semantic Web Programming
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Provides a practical guide to semantic web programming. It is suitable for beginners who want to learn more about the basics of semantic web programming.
Semantic Web Programming
Kindle Edition
$$
Relevant careers
Data Scientist
Data Engineer
Data Analyst
Database Administrator
Data Architect
Data Visualization Specialist
Information Architect
Software Developer
Data Governance Specialist
Technical Writer
Related topics
Big Data Analytics
Data Mining
Data Science
Data Warehousing
Database Management
Data Visualization
Machine Learning
NoSQL
SQL
Cloud Computing
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