Data Engineering Foundations
This activity was from LinkedIn Learning. Titled “Introduction to Data Engineering,” it focused on how data engineering plays a crucial role in making data useful by ensuring smooth data flow, monitoring systems, and maintaining data pipelines. Throughout the video, there were many key takeaways, one of which was the importance of data wrangling, database schema, and ETL pipelines in organizing and processing data efficiently. Data engineering can be useful in growing my future career. It will allow me to have broader career opportunities by equipping me with the knowledge of essential tools like Hive, Hadoop, Spark, and Airflow, which are widely used in data-driven organizations.