In today’s data-driven world, the ability to efficiently collect, process, and analyze large volumes of data is paramount. This blog post will delve into a data engineering project that leverages a powerful combination of tools: Python, Docker, Airflow, Spark, Kafka, Read More …
Category: Data Engineering
Data Engineering Learning Path
This revamped curriculum outlines the key areas of focus and estimated timeframes for mastering data engineering skills. Foundational Knowledge (1-3 weeks) Data Modeling (2-4 weeks) Data Storage (3-5 weeks) Data Processing (2-4 weeks) Data Integration (4-8 weeks) Data Transformation (4-6 Read More …