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.
AIOps (Artificial Intelligence for IT Operations) is a concept that refers to the use of artificial intelligence and machine learning technologies in IT operations. Defined by Gartner in 2017, the term encompasses the use of artificial intelligence algorithms to automate and improve traditional IT operations processes.
A relational database consists of tables that are related to each other, and each table contains data of a specific data type - an entity. The relational model defines reality and usually has as separate tables as the number of entities. A relational database attempts to display all data items only once.
DataOps (Data Operations) is a methodology developed to accelerate and optimize data management processes. Created with inspiration from the DevOps approach used in software development processes, DataOps covers all stages in which data is collected, processed, analyzed and made available.
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