The tutorial provides comprehensive guidance on an analytics use case, detailing the process of analyzing semi-structured data with Spark SQL and utilizing Docker to set up the environment. It covers data engineering, data retrieval from an API, storage in MinIO, data transformation using PySpark, and data analysis with Spark SQL. The tutorial offers practical insights and instructions for working with various technologies.
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Understanding the building blocks
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Setting up Docker Desktop
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Configuring MinIO
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Getting started with JupyterLab
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Data pipeline: The ETL process
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Analysing semi-structured data
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Cleanup of resources
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Conclusion
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References
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