Data Engineering Learning Portal

Core Concepts SQL & Databases Big Data Tech Stream Processing Cloud Platforms Data Tools

Comprehensive guide to mastering data engineering technologies and concepts. Explore structured learning paths, tutorials, and resources for all skill levels.

Data Engineering Fundamentals

What is Data Engineering? Data Types & Structures ETL vs ELT Data Modeling Data Warehousing

Introduction to Data Engineering

Learn the core concepts, responsibilities, and ecosystem of data engineering.

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Building Data Pipelines

Fundamentals of designing and implementing robust data pipelines.

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SQL & Databases

SQL Fundamentals Query Optimization OLTP vs OLAP NoSQL Databases

SQL for Data Engineers

Master SQL techniques essential for data engineering workflows.

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PostgreSQL Deep Dive

Advanced features and optimization techniques for PostgreSQL.

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Big Data Technologies

Hadoop Ecosystem Spark Fundamentals Spark Optimization Apache Hive

Hadoop vs Spark

Comparison guide and when to use each technology.

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Spark Performance Tuning

Techniques to optimize your Apache Spark applications.

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Stream Processing

Apache Flink Apache Kafka Streaming Patterns

Real-time Processing with Flink

Complete guide to building streaming applications with Flink.

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Kafka for Data Engineers

Architecture, configuration, and best practices for Kafka.

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Cloud Platforms

AWS for Data Engineering GCP for Data Engineering Azure Data Services Cloud Migration

AWS Data Engineering

Guide to AWS data services: Glue, Redshift, Kinesis, EMR.

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GCP Data Engineering

Building pipelines with BigQuery, Dataflow, Pub/Sub.

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Ready to dive deeper? Check out our Data Engineering Learning Roadmap | New content added weekly!