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Dremio Cloud leaps big data in a single bound with a fast SQL engine and optimizations that can accelerate queries dramatically. Plus it lets you use other engines on the same data.
NumPy is known for being fast, but there's always room for improvement. Here's how to use Cython to iterate over NumPy arrays at the speed of C.
VantageCloud Lake edition comes with expanded ClearScape Analytics suite that supports in-database analytics for artificial intelligence and machine learning operations.
Three widely used frameworks are leading the way in deep learning research and production today. One is celebrated for ease of use, one for features and maturity, and one for immense scalability. Which one should you use?
Apache Iceberg is an open table format that offers scalability, usability, and performance advantages for very large data sets. Here are five reasons Iceberg is optimal for cloud data workloads.
Reading Freakonomics awakened his passion for data science. Here's how further education and thoughtful career moves led to becoming a data scientist.
Boost productivity and job satisfaction with efficient workflows and helpful tools, such as no-code development, intelligent search, and customer data platforms.
Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to run on a recurrent schedule.
R Markdown isn’t going away. But the Quarto publishing platform is as friendly to Python, Julia, and Observable JavaScript as it is to R.
After 10 years as an R framework, the Shiny web framework is now available for Python in an alpha release.