From the course: Hands-On Introduction: Data Engineering
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Solution: Solutions to ETL questions
From the course: Hands-On Introduction: Data Engineering
Solution: Solutions to ETL questions
(upbeat music) - [Instructor] Congratulations on completing your first challenge. In this video, we'll review the solution to our data engineering challenge. As always, let's start with our business request. It sounds like our user is doing analysis on S&P 500 companies. We know that this data must be pulled from somewhere. That is our extract step. I've highlighted it in blue here. Next, we know that our user wants to understand the aggregate number of companies in each sector. That's our transform step, and it's highlighted in orange here. Finally, we know that our user wants this output in a SQLite database. That's pretty straightforward and has a clear indication of the load step, that is highlighted in green here. Great work. We now know which aspects of the ET&L process correspond to which parts of the business request. Let's switch to Codespaces. First, we want to make sure we understand what the output of our ETL process will be. We know that our prompt requested that we write…
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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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