✨Data engineering is the fastest-growing field with high demand.
🚀Building core skills in Python, SQL, and data warehousing is essential.
💡Learning tools like Apache Spark, Kafka, and Airflow enhances your capabilities.
☁️Choose AWS or Azure as your cloud platform for practical experience.
📈Stay updated on trends like the open table format to stay ahead in the field.
What are the essential skills for a data engineer?
—Python, SQL, and data warehousing are the core skills every data engineer should focus on.
Which cloud platform should I choose as a data engineer?
—AWS or Azure are recommended cloud platforms for data engineering, based on market demand.
What tools should I learn as a data engineer?
—Consider learning Apache Spark, Apache Kafka, and Apache Airflow to enhance your capabilities.
What is the open table format?
—The open table format is a trending concept that combines the benefits of a data lake with additional features like ACID transactions.
How can I stay updated on trends in data engineering?
—Continuously learning and staying active in the data engineering community will help you stay updated on trends and advancements.
00:04Data engineering is a rapidly growing field with high demand.
00:32Build core skills in Python, SQL, and data warehousing for a strong foundation.
01:11Learn tools like Apache Spark, Apache Kafka, and Apache Airflow for enhanced capabilities.
02:43Choose AWS or Azure as your cloud platform for practical experience.
08:24Stay updated on trends like the open table format to stay ahead in the field.
