Engineering and Technology
Leverage your Python and SQL knowledge to create an ETL pipeline to ingest, transform, and load data into a database.
Enhance Your Data Engineering Processes with ETL Skills Developing your ETL skills is crucial for optimizing data management and improving efficiency in your organization. This comprehensive course focuses on the fundamental principles of building robust pipelines to extract, transform, and load data seamlessly into your company's systems. By participating in hands-on exercises, you will gain practical experience in assisting a fictional private equity firm in processing sales data to make informed decisions when investing in real estate. Master the Setup of ETL Pipelines The course commences with a thorough explanation of the ETL process, followed by an in-depth exploration of data extraction techniques. You will then delve into the intricacies of ETL pipelines, equipping yourself with the necessary tools and techniques to effectively transform data. Once the data is formatted to your specifications, you will learn how to transfer it to a clean table, culminating in the final stage of the pipeline: loading the data for immediate use. Leverage the ETL Pipeline for Actionable Insights Concluding the course, you will discover how the ETL pipeline can generate valuable insights for the stakeholders of the fictional company. You will tackle more complex queries, including aggregation, averages, and max/min functions, before exploring methods to translate raw SQL queries into easily understandable Excel files. Hands-on Experience with Leading ETL Tools and Techniques Throughout the course, you will be introduced to popular ETL tools and techniques that streamline your workflow and enhance the structure of your data. One such tool is SQLAlchemy, which empowers you to execute insert and delete statements effortlessly, while also providing powerful aggregation capabilities.
by DataCamp
Leverage your Python and SQL knowledge to create an ETL pipeline to ingest, transform, and load data...
by DataCamp
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