Going Beyond Two-Tier Data Architectures with DuckDB
Explore the innovative data architectures enabled by DuckDB, an in-process analytical data management system, in this 32-minute talk by Prof. Dr. Hannes Mühleisen. Discover how DuckDB's lightweight yet powerful design, available under the MIT license, al…
DuckDB's Search Capabilities for AI and LLM Stacks
Explore DuckDB's underrated search capabilities and its potential within an LLM stack in this 13-minute talk by Mehdi Ouazza, an experienced data engineer and developer relations lead at MotherDuck. Discover how DuckDB's versatile and efficient search me…
SQL está en todas partes: Explorando alternativas con Ibis
Descubre Ibis: una biblioteca Python para consultas de datos eficientes en múltiples backends. Simplifica el trabajo con bases de datos SQL y ofrece una alternativa a las complejas consultas tradicionales.
Evidence: Business Intelligence as Code - An Open Source Project Overview
Discover how Evidence transforms business intelligence through markdown and SQL, featuring DuckDB WebAssembly integration, interactive filters, and multi-source data connections.
Where the Modern Data Stack Has Failed and Why Engineering-centric Tools Will Reshape the Data World
Explore how engineering-focused tools like DuckDb, SDF, and Dagster are reshaping data engineering, addressing limitations of the modern data stack, and enabling more scalable, programmable solutions.
Unveiling the Power of dbt and DuckDB - Hype vs Reality
Explore the practical applications and limitations of combining dbt and DuckDB for data transformations, examining real-world use cases and performance considerations.
The Real Modern Data Stack - Building ETL Pipelines with Open Source Tools
Discover how to build powerful, cost-effective ETL data stacks using open-source tools like sling, dbt, duckdb, and dagster - transforming months of implementation into rapid deployment.
DuckDB: Features, Architecture, and Use Cases in Analytics
Dive into DuckDB's powerful analytics capabilities, architecture, and key features while exploring its unique syntax, connectors, and practical use cases in modern data analysis.
Introduction to DuckDB: An In-Process Analytical Database Management System
Discover DuckDB's powerful analytical database system, featuring in-process execution, multi-language support, and efficient data processing capabilities for handling large datasets on a single laptop.
DuckDB: Crunching Data Anywhere - From Laptops to Servers
Discover how DuckDB enables efficient data analysis across devices, from processing hundreds of gigabytes on laptops to terabytes on servers, with native support for SQL and popular file formats.
OLAP on Cassandra Data with Arrow, Flight SQL, ADBC, and DuckDB
Explore modern OLAP techniques for Cassandra data using Arrow, Flight SQL, ADBC, and DuckDB. Learn to convert sstable snapshots to Parquet, enable real-time analytics, and leverage Flight SQL for efficient querying.
A Short Summary of the Last Decades of Data Management - GOTO 2024
Explore the evolution of data management over decades, from monolithic systems to open-source engines and cloud computing, examining key trends, successes, and failures in this trillion-dollar industry.
New Feature - What the Fibers Extension Can Do for You
Explore PHP 8.1's Fibers extension, its impact on concurrent execution, and its comparison with async frameworks. Learn about green threads and assess the extension's practical value.
DuckDB - Bringing Analytical SQL Directly to Your Python Shell
Explore DuckDB's seamless integration with PyData ecosystem, enabling efficient analytical SQL queries without a server. Live demo showcases performance and usability alongside Pandas for data science tasks.
Big Data is Dead - The End of an Era and the Future of Data Analytics
Explore why the Big Data era is ending and learn to focus on data utilization for better decision-making, drawing insights from industry analysis and expert experience.
Shredding Deeply Nested JSON for Efficient Analytics in DuckDB
Discover how DuckDB efficiently processes nested JSON data through vectorized analytics, enabling direct reading of JSON files as tables with automatic schema detection for powerful data analysis.
Lambda Functions and List Operations in DuckDB SQL
Explore DuckDB's innovative approach to handling LIST-type operations and Python-style list comprehension in SQL, focusing on efficient processing of nested data formats like JSON for enhanced analytics performance.
Indexed Streams - A Formal Intermediate Representation for Fused Contraction Programs
Explore a formal operational model for fused execution of contraction languages, covering sparse tensor and relational algebra. Learn about indexed streams and their compiler implementation.
Forecasting Time Series with Arrow and WASM
Explore novel time-series processing pipeline using Apache Arrow, S3, Polars/DuckDB, and WASM for efficient forecasting and MLOps deployment.
Processing Trillions of Records with Mini Serverless Databases at Okta
Explore serverless DuckDBs for efficient data processing, optimizing batch ETL, streaming, and SQL flexibility while addressing Kafka, latency, and ELT complexities in large-scale environments.
How to Seamlessly Integrate AI into Your Application with PhiData
Learn to build AI assistants with PhiData, covering function calling, database integration, and custom tools for seamless application enhancement.