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What is Unstructured Data? A Guide to Storage, Processing, and Analysis

Seattle Data Guy

Much of the data we have used for analysis in traditional enterprises has been structured data. However, much of the data that is being created and will be created comes in some form of unstructured format. However, the digital era… Read more The post What is Unstructured Data?

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How Natural Language Processing of Unstructured Data is Improving Healthcare Outcomes

KDnuggets

Healthcare generates a vast amount of unstructured data, including clinical notes, patient messages, and research articles. This data contains valuable insights that can significantly improve patient care, but are difficult to include in traditional modeling techniques due to its unstructured format.

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Streamline Operations and Empower Business Teams to Unlock Unstructured Data with Document AI 

Snowflake

It is estimated that between 80% and 90% of the world’s data is unstructured 1 , with text files and documents making up a significant portion. This variability requires tailored extraction approaches for each document type, significantly extending processing times. thousands of documents a day) to a data engineer.

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The Rise of Unstructured Data

Cloudera

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing. And data moves around.

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Now in Public Preview: Processing Files and Unstructured Data with Snowpark for Python

Snowflake

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more.

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Convert Your Unstructured Data To Embedding Vectors For More Efficient Machine Learning With Towhee

Data Engineering Podcast

Summary Data is one of the core ingredients for machine learning, but the format in which it is understandable to humans is not a useful representation for models. Embedding vectors are a way to structure data in a way that is native to how models interpret and manipulate information. images, audio, video, etc.)

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Domain-Specific Language Processing Mines Value From Unstructured Data

KDnuggets

Processing unstructured text data in real-time is challenging when applying NLP or NLU. Find out how an alternative, called Domain-Specific Language Processing, can mine valuable information from data by following your guidance and using the language of your business.