Accelerate data movement into the Snowflake Data Cloud to execute analytic workloads, AI and GenAI.

Check out Scout Monitoring's ollama-rails GitHub repo for samples on how to use ollama-ai to communicate with Ollama. Large Language Models (LLMs) have emerged as a game-changer, enabling machines to understand, generate, and process human language with unprecedented accuracy and fluency. One such tool that has gained significant attention is Ollama, a cutting-edge platform that allows developers to run LLMs locally without relying on cloud services.

Gartner predicts that 70% of engineering teams will shift to "continuous quality" by 2026. But what is continuous quality, anyway?

An operational data fabric focuses explicitly on integrating and managing disparate data in the context of operational systems and processes. It’s tailored to meet the needs of operational data management, often in real time or near real time, to support business operations. Let’s break down some key features of operational data fabric: To fully appreciate the transformative power of operational data fabric, it’s important to understand how it compares to data fabric.

Handling data in various formats is a common task in software, and CSV (Comma-Separated Values) files are among the most prevalent data formats you'll encounter. Whether for data migration, reporting, or simply importing and exporting data, processing CSV files efficiently is a necessary skill for any Ruby developer. In this article, we'll learn the practical aspects of parsing and handling CSV data using Ruby.

Accelerate data movement into the Databricks Data Intelligence Platform to execute analytic workloads, AI and GenAI.