Speed is Not All You Need for Data Processing
Exploring data processing frameworks beyond Pandas, challenging assumptions about speed, and emphasizing practical considerations for choosing tools that best serve data practitioners.
Efficient CSV Parsing - On the Complexity of Simple Things
Dive into advanced CSV parsing techniques, exploring DuckDB's implementation, parallel algorithms, buffer management, and state machine transitions for handling complex CSV file processing.
Building Analytic Systems with Elixir
Explore building analytical systems with Elixir, covering process mining, technology choices, and challenges. Compare Elixir Explorer with Python for data analysis tasks.
Tutorial DuckDB: La Base de Datos Rápida y Ligera para Analítica, ETL, Scripting y Microservicios
Explora DuckDB, una base de datos veloz y liviana para análisis, ETL, scripting y microservicios. Aprende sus ventajas y aplicaciones prácticas.
Pandas and Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars
Explore Dask DataFrame 2.0's improvements and performance compared to Spark, DuckDB, and Polars. Learn about new features, benchmarks, and future developments in distributed computing with Python.
Python and SQL: Better Together, Powered by DuckDB
Explore DuckDB's integration with Python for efficient data processing, combining SQL and dataframe capabilities to handle large datasets with ease and speed.
Data Warehouses are Gilded Cages - What Comes Next
Explore DuckDB's potential to revolutionize data analytics, shifting from centralized warehouses to powerful local processing. Learn how this approach can enhance efficiency and user control in data management.
Building an Open Data Service Layer with Arrow, DuckDB and Semantic Layer
Explore FlexQuery, an open-source solution revolutionizing data services with Arrow, DuckDB, and semantic layers. Learn to create high-performance, scalable analytics environments using Python and cutting-edge technologies.
Building a Unified Feature Platform with DuckDB and Arrow
Explore ML feature platform development using DuckDB and Arrow. Learn scaling strategies, DuckDB extension implementation, DeltaLake interoperability, and performance comparison with Spark.
Delta Lake Meets DuckDB via Delta Kernel
Explore Delta kernel rust's integration with DuckDB, enhancing Delta support in third-party connectors. Learn about architecture, implementation, and performance through demos and benchmarks.
Pandas and Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars
Explore Dask DataFrame 2.0's improvements, comparing its performance to Spark, DuckDB, and Polars using TPC-H benchmarks. Learn about new features enhancing speed, efficiency, and usability in big data processing.
Python and SQL: Better Together, Powered by DuckDB
Explore DuckDB: A powerful database system integrating seamlessly with Python, offering efficient data processing and easy-to-use SQL capabilities for data scientists and analysts.
Speed is Not All You Need for Data Processing
Exploring data processing frameworks beyond Pandas, challenging assumptions about speed, and emphasizing practical considerations for choosing tools that best serve data practitioners.
Kùzu - A Fast, Scalable Graph Database for Analytical Workloads
Discover how to build and analyze knowledge graphs using Kùzu, an open-source graph database. Learn practical implementations, from data transformation to running Cypher queries and training graph neural networks for advanced RAG systems.
DuckDB Internals - Advanced Database Systems - Lecture 22
Explore DuckDB's architecture, design principles, and internal workings with guest lecturer Mark Raasveldt. Gain insights into advanced database systems and their implementation.
DuckDB Embedded Database System - Lecture 20
Explore DuckDB's embedded database system architecture, features, and performance optimizations for analytical workloads in this advanced database systems lecture.