As part of my recent studies about Azure Kubernetes, 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 Azure Kubernetes and understand how its key components interrelate.
Azure Kubernetes Mind Map
Azure Kubernetes Mind Map showcasing core concepts Figure 1: Azure Kubernetes Mind Map visualizing key concepts
As part of my recent deep dive into Azure API Management, 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 Azure API Management and understand how its key components interrelate.
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.
I recently came across an insightful article: RAG Fundamentals First,
which delved into the fundamentals of RAG (Retrieval Augmented Generation)
To further process and organize my understanding of the
topic, I created a mind map that summarizes the key concepts and relationships of the vanilla RAG framework: