Azure Databricks - mind map - key concepts
Contents
As part of my recent deep dive into Azure Databricks, I’ve created a mindmap that outlines and connects some of its core concepts. This mindmap serves as a visual guide to help you navigate the powerful capabilities of Databricks and understand how its key components interrelate.
Explore essential areas like:
- 📊 Data Management 🗄️: Centralized governance, cataloging, and access control.
- 🛠️ Data Engineering 📊: Tools for building data pipelines, notebooks, and version control.
- 🏢 Data Warehousing 📊: Efficient data storage, querying, and visualization for business insights.
- ⚙️ Computation Management 🖥️: Managing clusters, workflows, and computation resources.
- 🤖 AI and Machine Learning 🧠: Machine learning runtimes, experiments, and model deployment.
- 🔌 Interfaces: Accessing Databricks through UI, APIs, and CLI.
Azure Databricks Mind Map
Figure 1: Azure Databricks Mind Map visualizing key concepts
Download the mind map in multiple formats:
MindMap PNG
MindMap JPG
MindMap SVG