"Data Engineering with Azure Databricks" is your essential guide to building scalable, secure, and high-performing data pipelines using the powerful Databricks platform on Azure. Designed for data ...
Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering ...
Databricks, the data and AI company, is introducing OpenSharing, the next evolution of the open source Delta Sharing protocol for the agentic era. OpenSharing, now a project of the Linux Foundation ...
sbt-spark-package is a Sbt plugin that aims to simplify the use and development of Spark Packages. Please upgrade to version 0.2.4+ as spark-packages now supports SSL ...
Pyrefly, the Python type checker and linter from Meta, has just dropped its first full 1.0 release. It’s intended to be a solid alternative to existing type checking/linting tools like Mypy and ...
Databricks’ OpenSharing targets the ‘integration tax’ of enterprise AI The zero-copy credential model enables cross-platform sharing of AI assets, promising lower overhead, stronger governance, and ...
Use MCP tools to create, run, and iterate on SDP pipelines. The primary tool is manage_pipeline which handles the entire lifecycle. IMPORTANT: Default to serverless pipelines. Only use classic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results