Interesting links - September 2025
A monthly roundup of 78 curated links on data engineering, architecture, AI, and tech trends, with top picks highlighted.
A monthly roundup of 78 curated links on data engineering, architecture, AI, and tech trends, with top picks highlighted.
A tutorial on using Positron's Connections Pane to connect to and query DuckDB databases efficiently, especially for handling large datasets.
Exploration of DuckDB and DuckLake as lightweight analytics tools, comparing them to traditional data lake architectures.
A monthly roundup of tech links covering data lakehouses (DuckLake, Iceberg), Kafka, event streaming, and stream processing developments.
A guide on using the new ArcGIS Pro add-in to download and work with Overture Maps Foundation's global geospatial datasets via Parquet files and DuckDB.
An analysis of DuckLake, a new open table format and catalog specification for data engineering, comparing it to existing solutions like Iceberg and Delta Lake.
A technical guide on downloading and analyzing Canada's National Address Register (15.8M addresses) using Python, DuckDB, and QGIS to create settlement centroids.
A monthly roundup of tech links covering DuckDB, Kafka, data visualization, and stream processing, with highlights and commentary.
A guide to building a data pipeline using DuckDB, covering data ingestion, transformation, and analytics with real-world environmental data.
A guide to exporting SQL queries from DuckDB's new UI notebooks using a custom Bash script for backup or sharing.
A hands-on review of the new DuckDB UI, exploring its features for data analysis and comparing it to previous workflows with Rill Data.
A technical walkthrough of loading and exploring UK Environment Agency flood data using DuckDB and Rill for a streaming pipeline project.
How to use DuckDB's COLUMNS expression to automatically rename fields when using SELECT * across joined tables, avoiding ambiguous column names.
jOOQ 3.20 released with new SQL dialect support for ClickHouse and Databricks, expanded DuckDB features, and various new modules and improvements.
A guide to performing data operations using PySpark, Pandas, DuckDB, Polars, and DataFusion within a pre-configured Docker environment.
A benchmark analysis of DuckDB's performance on a massive 1.1 billion row NYC taxi dataset, comparing it to other database technologies.
A technical guide to solving the One Billion Row Challenge (1BRC) using SQL and DuckDB, including data loading and aggregation.
A technical guide on extracting and analyzing OpenStreetMap (OSM) features using PBF files, DuckDB, and QGIS for data filtering.
A technical guide to downloading, processing, and visualizing global geospatial datasets from the public domain Natural Earth project using tools like AWS S3, DuckDB, and QGIS.
A technical guide on accessing, downloading, and analyzing Maxar's freely available satellite imagery from their Open Data Programme using tools like GDAL, Python, and DuckDB.