本文并非官方文档的简单翻译，而是结合多方信息源和实战经验，对 Spark 3 到 Spark 4 的迁移进行一次系统性梳理。我们将从"必须改"、"容易踩坑"、"值得利用"三个维度，帮助你制定一个清晰的迁移路线图。

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

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Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

Open-source Microsoft Teams bot for Databricks Genie with true SSO user identity flow and auto-generated visualizations. Enterprise-ready data access in Teams. AIFoundryGenie is a small, Python-based ...

Fugro is a global leader in Geo‑data, building a modern cloud‑based lakehouse platform on Databricks to unlock high‑quality, governed data at scale. As we accelerate our digital transformation, we are ...

This project analyzes the MovieLens 20M dataset using PySpark, with interactive visualizations provided by Streamlit. Additionally, a Kaggle notebook offers more insights into the analysis.