Query & Theory

Code generation can help unlock new levels of productivity and efficiency, and can help data practitioners uncover novel insights to help drive the growth of the business. We explore free, online Python code generation tools to help get you started immediately.

Leveraging AI for BI requires an entirely new way of thinking of analytics. In this article we explore merits of AI-native BI, how it differs from legacy BI, and the current best AI business intelligence tools.

In this brief tutorial, we show you how to query a remote SQL database using Python with SQLAlchemy and pandas pd.read_sql. By combining SQL and Python, you can query relational data and conduct advanced data analysis and visualizations more efficiently than you can with either independently.

Collaborative data analysis can change the way data is used and trusted in an organization. Collaborative analytics tools brings teams together and meet them where they are. In this post we dive into what collaborative data analysis really means and what tools are required to enabled it.

Our mission is to make it incredibly easy for you to conduct data analysis and share your insights with your coworkers as beautiful, timely reports. With our latest major release of “flexible reports layouts”, we’ve taken yet another major step in that direction.

Send data reports and alerts to Slack is the best way to ensure that data is leveraged by the business. In this tutorial we show you how to quickly build a Slack app to meet your stakeholders where they are.

Learn how to deploy your Streamlit app to AWS EC2 with Docker, from local testing to production deployment. Includes security considerations and best practices.

Learn when it's time to hire your first data person, what experience they should have, and how to set them up for success. A guide for founders and tech leaders.

Understand when to use spreadsheets vs Python for data analysis. Discover why spreadsheets work for many tasks, but Python becomes essential for advanced analytics.

Our new agent can debug code that has multiple issues. Plus, we shipped enhanced report filtering capabilities and rounded up some insights on AI trends and BI tools.

Why your BI tool isn't enough for complex data work. Explore how modern teams are combining BI, code-first solutions, and AI to unlock deeper insights.

Ditch the standard cohort retention charts. Learn why B2B SaaS teams need smarter ways to track user engagement, and how to build better visualizations with SQL.

September updates bring multi-source data blending, one-click AI analysis, and Google Sheets integration to Fabi.ai. Plus a sneak peek at upcoming report features.