Explore 10 powerful big data tools that help data scientists process massive datasets, analyze information, build machine learning models, automate workflows, and support smarter business decisions.

Good instincts for numbers only get a business analyst so far. The right tools are what turn a pile of raw data into reports people can use. Sales figures, cust ...

When I started learning SQL, I managed to get through SELECT and WHERE, but the first things that stopped me in my tracks ...

This article is the Japanese version of a post published on STEALIEN's Korean technical blog in December 2022. It introduces ...

System logs generated by globally distributed microservices often hide subtle degradations (like memory thrashing or systemic ...

Scale Databricks Apps from design to production: set latency targets, keep state recoverable, load test, and size instances, ...

NVIDIA has open-sourced Auto Ontology, a framework designed to make AI agents more reliable when querying enterprise databases using natural-language instructions. The system creates a semantic layer ...

There is no tool for browsing raw schemas. NVIDIA chose that on purpose, so agents reach data through the semantic layer. The ...

Malek Damiri's golden-question exam for AI agents that query revenue data: grade the numbers, not the SQL. Runnable Python and DuckDB inside.

On October 21, 2026, a compromised LiteLLM 1.107.0 release was published to the Python Package Index (PyPI) and distributed through official container images. The malicious package added files that ...

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise databases with no feature engineering or custom training required, applying ...