Python makes it simple to integrate with both relational and non-relational databases, enabling you to build robust, data-driven applications. With connectors for SQLite, MySQL, PostgreSQL, and ...

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...

AI adoption is accelerating across industries as enterprises move beyond pilot projects to large-scale deployments. Flexera’s 2026 IT Priorities report shows that 94% of IT leaders are actively ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Google is introducing powerful tech for agents and data. They are also introducing a series of data-centric agents. A new command-line AI coding tool is now available. I am no stranger to hyperbolic ...

We have seen how to read data from a file, either in unstructured text or CSV format, and how to write data in these formats. We’ve also seen how to read and write JSON. In this chapter we’ll see how ...