What are the latest technologies for extracting data from unstructured and semi-structured sources?
Data extraction is the process of obtaining relevant information from various sources, such as text, images, audio, video, or web pages. Data extraction is essential for data engineering, as it enables data analysis, transformation, and integration. However, not all data sources are structured and easy to access. Unstructured and semi-structured data sources, such as social media posts, emails, PDF documents, or XML files, pose many challenges for data extraction, such as heterogeneity, ambiguity, complexity, and scalability. In this article, we will explore some of the latest technologies for extracting data from unstructured and semi-structured sources, and how they can help data engineers overcome these challenges.
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Muneesh SharmaDirector India @ Neem Consulting Limited | Data Science, Agile, CRM, System design, Cloud Computing, AIOps, DevOps
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Asheesh ..Trained 200 Azure Data Engineer | Lead Data Engineer ?? | Microsoft Student Partner | Data Analytics | Data Engineering…
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Carlos Fernando ChicataAlgunas insignias de community Top Voice | Ingeniero de datos | AWS User Group Perú - Arequipa | AWS x3