DuckDB Book

  1. Introduction to DuckDB:

    • Title: "DuckDB Demystified: A Comprehensive Introduction"
    • This perspective could cover the basics of DuckDB, its architecture, how it differs from other database systems, and its key features.

  2. Practical Implementation Guide:

    • Title: "Hands-On DuckDB: From Installation to Advanced Queries"
    • This perspective could provide step-by-step instructions on installing DuckDB, setting it up in various environments, and executing basic to advanced queries.

  3. Performance Optimization:

    • Title: "Optimizing DuckDB: Strategies for High Performance"
    • This perspective could delve into techniques for optimizing DuckDB performance, including indexing, query optimization, and hardware considerations.

  4. Data Science and Analytics with DuckDB:

    • Title: "DuckDB for Data Scientists: Efficient Analytics at Scale"
    • This perspective could focus on using DuckDB for data analysis, machine learning, and other data science tasks, including integration with popular tools like Python and R.

  5. Use Cases and Case Studies:

    • Title: "DuckDB in Action: Real-World Applications and Case Studies"
    • This perspective could showcase various use cases of DuckDB across different industries, highlighting its versatility and effectiveness in handling specific scenarios.

  6. Contributing to DuckDB:

    • Title: "Building DuckDB: A Developer's Guide to Contributing"
    • This perspective could target developers interested in contributing to DuckDB's development, covering topics like understanding the codebase, submitting patches, and participating in the community.

  7. Comparative Analysis:

    • Title: "DuckDB vs. The World: Comparative Analysis of Database Systems"
    • This perspective could compare DuckDB with other database management systems, discussing strengths, weaknesses, and use cases for each.

  8. Advanced Topics and Future Trends:

    • Title: "Beyond the Basics: Advanced Techniques and Future Trends in DuckDB"
    • This perspective could explore advanced features of DuckDB, ongoing research, and potential future developments in the field of database management.

I like:

from: https://hackernoon.com/a-comprehensive-guide-for-using-duckdb-with-go

Embedded Databases

Embedded databases are specialized database management systems (DBMS) that run within the same process as the application. Unlike standalone database servers, which run as separate processes and require inter-process communication, embedded databases interact directly with the application, thereby offering significant performance benefits and simplifying application architecture. They are typically lightweight, use less resources, and require minimal setup and administration. Examples of popular embedded databases include SQLite, RocksDB, and DuckDB.

An embedded database is particularly useful in applications that need to manage data but don't require the full functionality of a standalone DBMS. These could range from desktop applications and small web applications to IoT devices and mobile apps. They are also utilized in server applications for tasks such as caching, temporary data manipulation, or when the data to be stored is application-specific and does not need to be shared across different services.

Book design page: https://illusion.baldurbjarnason.com/

Importing and querying a large bunch of xz-compressed JSONL files using SQL on the fly/in memory and exporting the result takes only a couple of seconds, and the developer experience is great.

#duckdb is so handy for guerilla data analysis, mashing up CSV files etc.