Excel remains one of the most powerful tools for handling data ranging from thousands to tens of thousands of rows. However, ...

Huge Excel sheets can be annoying, but they don't have to be.

Even if you understand the basic syntax of Python, you need to combine multiple technologies to build a business app that integrates GUI, databases, and Excel. Therefore, in this article, I will ...

Get an overview of new capabilities in the Roadmap. You can filter for products and specific areas and learn what's coming when. Add an extract node to a workflow to pull named values and tables out ...

New and enhanced operators support data cleaning, deduplication, quality checks, more flexible joins, and parameterized inputs and outputs. Expanded output options and canvas improvements add ...

AI data preparation is the unglamorous half of working with data: cleaning, joining, and reshaping raw tables while an AI ...

BankGPT helps accountants, bookkeepers and small businesses convert PDF and scanned bank statements into structured ...

Ensure data pipeline reliability and troubleshoot issues fast by using standard Python logging directly in BigQuery UDFs for real-time observability.

i18n JSON to XLSX Converter is a CLI tool runs in a terminal, and helps you to convert a JSON file(s) to EXCEL sheet(s) including keys column defined as nested with dot notation, and the values column ...

Python can make it easier to organize, analyze, and summarize information from Excel files. By using data tools, you can ...

How I'd become a self-taught data analyst again in 2026. Six stages, in order, all free. Ends with one real portfolio project you can fork today. I'm a senior data analyst. No tech degree. No tech ...

Streaming file ingestion (unstructured): Ingesting many source files (for example, PDFs, Google Docs, and Google Slides) into a single target table as binary data, ideal for retrieval-augmented ...