Google Cloud : Leveraging Unstructured Data with Dataproc & GCP
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Explored methods to extract insights from unstructured data sources such as logs, text, images, or streaming data
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Learned how to integrate unstructured data into analytics pipelines to augment decision-making
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Applied processing techniques to clean, transform, and analyse unstructured formats in a cloud environment
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Demonstrated how unstructured data improves model richness, enhances feature sets, and supports richer reporting
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Tools & Techniques:
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Apache Spark / Dataproc for distributed processing of unstructured data
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Text processing & NLP techniques (e.g. tokenization, TF-IDF, embeddings)
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Log parsing, pattern matching, and regular expressions
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Data pipelines combining structured + unstructured sources
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Cloud tools on GCP to orchestrate storage, processing, and integration