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Unstructured data (or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text -heavy, but may contain data such as dates, numbers, and facts as well.
Data at rest in information technology means data that is housed physically on computer data storage in any digital form (e.g. cloud storage, file hosting services, databases, data warehouses, spreadsheets, archives, tapes, off-site or cloud backups, mobile devices etc.). Data at rest includes both structured and unstructured data. [1]
Data science is an interdisciplinary academic field [1] that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data.
Metadata, data about data, can be used to organize electronic resources, provide digital identification, and support the archiving and preservation of resources. In well-structured, machine-readable electronic records, the content can be repurposed as both data and metadata. In the context of electronic record-keeping systems, the terms ...
NoSQL (originally referring to "non-SQL" or "non-relational") [1] is an approach to database design that focuses on providing a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Instead of the typical tabular structure of a relational database, NoSQL databases ...
Let's take a closer look at the cloud-based data warehousing company's Q3 earnings results to see if the turnaround in the stock can continue. A turn to profitability
Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or data storage (data migration). The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another ...
Mid-sized firms, however, often have a wealth of unstructured data—from which they’ve struggled to extract value. A mid-sized company, for example, may have handbooks for customer service ...