Small memory footprint. Only holds one batch at a time in memory. Fast. Makes efficient use of ODBC bulk reads, to lower IO overhead. Flexible. Query any ODBC data source you have a driver for. MySQL, ...

This guide provides instructions on how to set up and use Parquet files with DBeaver. The Parquet driver allows you to work with Parquet data as if it were in a database. You can retrieve data and ...

In this tutorial, we build a comprehensive, hands-on understanding of DuckDB-Python by working through its features directly in code on Colab. We start with the fundamentals of connection management ...

Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows. Performance differences matter most, with Polars and DuckDB outperforming Pandas on large datasets. Modern ...

In this tutorial, we demonstrate how we use Ibis to build a portable, in-database feature engineering pipeline that looks and feels like Pandas but executes entirely inside the database. We show how ...

Your browser does not support the audio element. In my data platform there are pipelines I cannot trace beyond the SQL layer. Now when an analyst or data engineer ...

Another year passes. I was hoping to write more articles instead of just these end-of-the-year screeds, but I almost died in the spring semester, and it sucked up my time. Nevertheless, I will go ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...