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Using the Database Preservation Toolkit, to achieve normalization of relational databases, data is converted to DBML (Database Markup Language) or SIARD, as both utilize XML, a standard format which does not require specific or proprietary software or hardware—ideal for a preservation format. [10]
In-database processing, sometimes referred to as in-database analytics, refers to the integration of data analytics into data warehousing functionality. Today, many large databases, such as those used for credit card fraud detection and investment bank risk management, use this technology because it provides significant performance improvements over traditional methods.
There are 2 main categories of data analysis tools, data mining tools and data profiling tools. Also, most commercial data analysis tools are used by organizations for extracting, transforming and loading ETL for data warehouses in a manner that ensures no element is left out during the process (Turban et al., 2008).
Data can be described as the elements or units in which knowledge and information is created, [2] and metadata are the summarizing subsets of the elements of data; or the data about the data. [3] The main goal of data preservation is to protect data from being lost or destroyed and to contribute to the reuse and progression of the data.
The term data processing has mostly been subsumed by the more general term information technology (IT). [5] The older term "data processing" is suggestive of older technologies. For example, in 1996 the Data Processing Management Association (DPMA) changed its name to the Association of Information Technology Professionals. Nevertheless, the ...
Hierarchical storage management (HSM), also known as tiered storage, [1] is a data storage and data management technique that automatically moves data between high-cost and low-cost storage media. HSM systems exist because high-speed storage devices, such as solid-state drive arrays, are more expensive (per byte stored) than slower devices ...
A database management system (DBMS) is a computer program (or more typically, a suite of them) designed to manage a database, a large set of structured data, and run operations on the data requested by numerous users.
Data defined storage explains information about metadata with an emphasis on the content, meaning and value of information over the media, type and location of data. Data-centric management enables organizations to adopt a single, unified approach to managing data across large, distributed locations, which includes the use of content and metadata indexing.