ETL and Data Pipelines with Shell, Airflow and Kafka

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This badge earner can describe the approaches to converting raw data into analytics-ready data. They understand how ELT and ETL processing differ and can identify use cases for both. The earner can explain the methods and tools used for extracting the data, merging extracted data either logically or physically, and for importing data into data repositories. They are able to define transformations that apply to source data to make the data credible, contextual, and accessible to data users.

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ETL and Data Pipelines with Shell, Airflow and Kafka

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Complete the following course on Coursera.org, including all assignments: ETL and Data Pipelines with Shell, Airflow and Kafka.

Assessment

Pass all graded assessments and earn a course certificate.

ETL and Data Pipelines with Shell, Airflow and Kafka

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ETL and Data Pipelines with Shell, Airflow and Kafka

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