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This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Data processing frameworks, such as ApacheHadoop and Apache Spark, are essential for managing and analysing large datasets.
This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Data processing frameworks, such as ApacheHadoop and Apache Spark, are essential for managing and analysing large datasets.
For instance, if the collected data was a text document in the form of a PDF, the data preprocessing—or preparation stage —can extract tables from this document. The pipeline in this stage can convert the document into CSV files, and you can then analyze it using a tool like Pandas. Unstructured.io
Evaluate Community Support and Documentation A strong community around a tool often indicates reliability and ongoing development. Evaluate the availability of resources such as documentation, tutorials, forums, and user communities that can assist you in troubleshooting issues or learning how to maximize tool functionality.
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