Analytics | News, analysis, features, how-tos, and videos
Event-driven architectures are wonderful. But Kafka was never intended to be a database, and using it as a database won’t solve your problem.
Pandas makes it easy to quickly load, manipulate, align, merge, and even visualize data tables directly in Python.
Survey of enterprise users of generative AI finds rapid adoption but also hurdles, with difficulty finding business use cases, legal uncertainties, and high infrastructure costs top concerns.
The Apache Arrow in-memory columnar format has become a critical component of many analytical database systems and tools. It brings a number of advantages to InfluxDB.
By making cryptic machine data human readable, generative AI will dramatically reduce the time and energy IT teams spend on managing and interpreting data generated by operational systems.
Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects.
Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems.
Python pandas creator Wes McKinney has joined data science company Posit as a principal architect, signaling the company's efforts to play a bigger role in the Python universe as well as the R ecosystem.
The cost management feature, which is still in private preview, is expected to help enterprises optimize their expenditure on Snowflake.
Cortex is designed to help streamline the development of data-driven applications, use cases, AI and ML models, and foundation models from Snowpark.