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Python & AWS: How to build Cloud ETL Pipelines using AWS Lambda with python
By Guest on 15th December 2022 03:54:56 AM | Syntax: PYTHON | Views: 208


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  1. To build an ETL (extract, transform, load) pipeline using AWS Lambda and Python, you can use the following steps:
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  3. Extract the data: The first step in an ETL pipeline is to extract the data from its source. This could be a database, a file, or some other source of data. In AWS Lambda, you can use the boto3 library to connect to various AWS services and extract the data you need. For example, you could use boto3 to connect to an Amazon S3 bucket and read data from a file, or to connect to an Amazon RDS database and query the data.
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  5. Transform the data: Once the data is extracted, the next step is to transform it into the desired format. This could involve cleaning the data, filtering or modifying the data, or combining it with other data. In AWS Lambda, you can use Python's built-in data manipulation tools, such as lists, dictionaries, and pandas DataFrames, to transform the data.
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  7. Load the data: The final step in an ETL pipeline is to load the transformed data into a destination. This could be a database, a file, or some other storage system. In AWS Lambda, you can use boto3 to connect to various AWS services and write the data to the desired destination. For example, you could use boto3 to connect to an Amazon S3 bucket and write the data to a file, or to connect to an Amazon RDS database and insert the data into a table.
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  9. Automate the pipeline: To make the ETL pipeline run automatically, you can use AWS services such as Amazon CloudWatch Events and AWS Lambda to schedule the pipeline to run at regular intervals or in response to specific events. This can help ensure that your data is always up-to-date and available for analysis or processing.
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  11. By following these steps, you can build an ETL pipeline using AWS Lambda and Python that can extract data from various sources, transform it, and load it into a destination for further processing or analysis.
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  14. See video below for step by step instructions on how to get started:
  15. Building Cloud ETL Pipelines - "Learn how to build Cloud ETL Pipelines using AWS Lambda, including both the theory and the practice. Includes real-world architectural practices for social media companies."
















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