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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
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.
These packages allow for text preprocessing, sentiment analysis, topic modeling, and document classification. Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as ApacheHadoop and Apache Spark.
Apache Nutch A powerful web crawler built on ApacheHadoop, suitable for large-scale data crawling projects. Nutch is often used in conjunction with other Hadoop tools for big data processing. Beautiful Soup A Python library for parsing HTML and XML documents.
In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and ApacheHadoop. A well designed database utilizes views at the right place and at the right time.
Accordingly, it is possible for the Python users to ask for help from Stack Overflow, mailing lists and user-contributed code and documentation. Big Data Technologies: As the amount of data grows, familiarity with big data technologies such as ApacheHadoop, Apache Spark, and distributed computer platforms might be useful.
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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