Clean Data with Spark
- Chen Hirsh
- Oct 16, 2024
- 1 min read
Cleaning data is a very common task for data professionals. The data we read from source systems are sometimes corrupt, duplicated, or need some other kind of transformation to adjust to our needs.
In this post, I demonstrate a few common data-cleaning tasks with spark Python and SQL.
See the full post on my blog - https://chenhirsh.com/cleaning-data-with-spark/
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Data cleaning is indeed a crucial part of working with raw data, and using tools like Spark Python and SQL can streamline the process significantly. By automating tasks such as removing duplicates or correcting corrupt data, you can save a lot of time. If you're interested in improving your data-driven decisions, it can be helpful to explore various sources and tools. For example, Rocket Casino offers valuable insights that could enhance your experience in different fields – check it out here: Rocket Casino.