From the course: Hands-On Introduction: Data Engineering
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A real-world data engineering task
From the course: Hands-On Introduction: Data Engineering
A real-world data engineering task
- [Instructor] As a data engineer, you are the Swiss Army knife of the modern enterprise. You have the ability to simplify complex data-centric requirements into discreet and manageable tasks. In addition to technical knowledge, you also have a deep understanding of the business context of your organization. Your work often involves taking vague requests and turning them into repeatable workflows. For example, analysts might ask for pipelines to perform healthcare analytics or understand population movement. Each of these tasks may differ in size, depth, or urgency, but they all share one common element. They're able to be distilled into the ETL model. To see this in practice, let's look at a real world data engineering example. One day a business manager asks you, as a data engineer, the following. "Every day, I download a file from the internet containing the list of top level domains. I ask my team to give me a…
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ETL in Airflow2m 32s
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A real-world data engineering task2m 15s
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Extracting data manually2m 55s
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Extracting data with Airflow2m 33s
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Transforming data manually3m 26s
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Transforming data with Airflow3m 13s
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Loading data manually4m 14s
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Loading data with Airflow4m 6s
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Building an ETL DAG with Airflow5m 47s
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Challenge: Review ETL questions2m 18s
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Solution: Solutions to ETL questions6m 4s
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