From the course: Advanced SQL Project: Design and Manage a Database
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Understanding data pipelines - SQL Tutorial
From the course: Advanced SQL Project: Design and Manage a Database
Understanding data pipelines
- [Instructor] Welcome back. In the last video, we covered the basics of ETL, extract, transform, and load. We also applied these processes to our music database. Now let's dive into designing a data pipeline for our music data. Data pipelines help us automate and streamline the ETL processes, making data management more efficient. So officially, a data pipeline is a series of processes that automate the movement and transformation of data from one place to another. The components of a data pipeline include the data sources, extraction processes, transformation processes, loading processes, and the target database. So for example, a pipeline that extracts artists' data from a CSV file cleans and transforms it and loads it into a SQLite database is a perfect example of a data pipeline. Some of these phases may sound familiar as they do cover the extract, transform, and load phases. In fact, for our iMedia database, it's much of the same thing. The biggest difference is automation…
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