From the course: Introduction to Spark SQL and DataFrames
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Next steps
- [Dan] Now that we've concluded our look at Spark SQL and data frames, you can continue to follow-up on both Spark and SQL with other courses in the library. If you're interested in Spark and machine learning, I suggest you look into my course on Spark for AI and machine learning. If you're interested in data science, I suggest you look at my advanced course on SQL for data science, which covers topics like windowing and other advanced SQL functions. Also, Spark and SQL are both commonly used for data exploration and data analysis. If this is something you're interested in, then I suggest you look up the course on exploratory data analysis with SQL.
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