Unstructured data is unfiltered information to which a fixed editing policy is not applied. It is often referred to as raw data. Common examples are internet logs, XML, JSON, text documents, images, videos and audio files. Unstructured data is searched and analyzed to extract useful facts. Up to 80% of enterprise data is unstructured. This means that it is the type of big data that is most visible to many people. The size of unstructured data requires scalable analytics to generate insights. Unstructured data is present in most, but not all, data lakes due to low storage costs.
Data Preparation is the process of cleaning, organizing, and making raw data suitable for analysis.
Post-quantum cryptography is the process of developing encryption algorithms and cryptographic systems designed to be secure against both classical and quantum computers.
Product lifecycle management refers to the examination of a product as it goes through certain stages of its lifecycle.
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