MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...
Your browser does not support the audio element. Way back in 2023, I kicked off this series with an article called What the Heck is DuckDB?, and it ended up being one ...
DuckDB is an amazing tool with deep integration with Python and R, but sometimes you just need data in Excel. xlDuckDb allows DuckDB SQL to be run within Excel. Query results are returned as regular ...
Dubai, United Arab Emirates – As enterprises race to operationalize AI, many are finding progress constrained by fragmented data environments, manual data engineering and governance models not ...
Analytics specialist SAS expands its platform offering with new agent and data management features to make generative AI productive faster. At its Innovate customer event, SAS unveiled extensive ...
Integrated analytics and AI-driven automation help enterprises prepare, govern and activate data for trusted AI at scale DALLAS, April 28, 2026 /PRNewswire/ -- SAS INNOVATE -- As enterprises race to ...
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 ...
Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data faster. The Indexing and retrievals are way faster 10-40X faster in most ...
Prototyping is my favorite part of programming. I like building new stuff and getting things working. It’s no surprise, then, that I am a big fan of MongoDB and NoSQL in general. Don’t get me wrong: I ...
Engineering teams are experimenting with AI agents at a rapid pace. In fact, a recent PwC survey found that 79 % of companies are already adopting AI agents. For Python developers, this shift doesn't ...
DuckDB is an embedded database, similar to SQLite, but designed for OLAP-style analytics. It is crazy fast and allows you to read and write data stored in CSV, JSON, and Parquet files directly, ...
Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...
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