Beginner
Cloud Fundamentals for Data Professionals
A curated starting point for cloud and data engineering basics.
CloudFundamentals
Resources
Data Engineering Resources
Editable resources grouped by category through content/resources.ts
Beginner
Data Engineering Fundamentals
Core concepts across ingestion, transformation, orchestration, and quality.
Data EngineeringFundamentals
Azure
Azure Data Factory Learning Path
Practical ADF patterns for orchestration and enterprise scheduling.
AzureADF
Azure
ADLS and Data Lake Design
How to structure lake zones and lifecycle for scalability.
AzureADLSArchitecture
Databricks
Lakehouse and Delta Lake Essentials
Foundational material for Databricks and Delta Lake patterns.
DatabricksDelta Lake
Databricks
Spark Performance and Optimization
Performance tuning strategies for Spark workloads.
SparkOptimization
AI
GenAI and RAG for Data Engineers
Practical guidance on building AI-ready data foundations.
AIRAGData Platforms
Career
Data Engineering Career Transition Roadmap
A step-by-step transition strategy from fundamentals to projects.
CareerRoadmap
Career
Certification Preparation Blueprint
How to structure certification-focused study and labs.
CertificationsCareer
Featured Guide
Data Engineering & Cloud Terminology
100 Essential Concepts Every Aspiring Data Engineer Should Know
A beginner-friendly guide covering Cloud, Networking, Azure, Data Engineering, Databricks, Streaming, APIs and AI.
Explore the Guide