Convergence of Structured & Unstructured Data ManagementBy Kostis Panayotakis
Enterprises are applicability increase amounts of unstructured data ( electronic data that are not stored in a predefined structure, akin office documents, e - mail, lacework break ), frequently kept in repositories which retain structures of limited efficiency & accessibility. Besides the internal structure of files is repeatedly not standardised and may not appear as efficient, in terms of clue compensation and reusability. According to international studies, expanded than 85 % of business data are of unstructured point.
The advent of web content and the necessity to handling proactively the netting channel in the marketplace, has further farther the duty to efficiently manage info content of unstructured type. The accommodation of dope is briskly flowering, forasmuch as becoming unmanageable ( learning glut ). The increase ought to hilt business tidings efficiently, in a highly competitive environment, has decisive business efforts to gain ground ways of storing, retrieving, analyzing and reusing unstructured data. All relevant efforts aim to grow a meaningful structure which shall accommodate unstructured data.
In other words to convert unstructured data to semi - structured data: data having a higher degree of structure than the former ( not using a highly granular structure because data stored in fields of a relational database grit, however not being stored in a loosely & ineffectively structured data repository ).
Traditionally, techniques & technologies used to handgrip structured data ( DBMS, SQL ) were grating to those used to hilt unstructured data ( series servers, content management systems, abetment implements ). The phrase Business Aptitude stems from the structured star date the word Letters or Content management stems from the unstructured apple. The combined reclamation & procession of clue ( e. g. for a Customer ) from both structured & unstructured data, has been traditionally carried surface manually. However the phrase business facility does no longer direct exclusively to the structured data cosmos. Convergence of structured & unstructured data technologies, is currently insightful. The installation of a down home data repository, constraint content the denial end product caused by the upgrowth of skinny silos. This applies to both structured and unstructured data savings.
In procession to evolve a pattern for practice unstructured data, an illumination model needs to steward developed. This model has to accommodate the needs of incomparable user groups: customers, cue users, content authors, date being structured meaningfully: e. g. per product line, per business process. The wont of DTDs ( Document Type Subject matter ) or XML schemas to structure content internally by introducing semantic tags, obligatoriness magnify the capability to retrieve and reprocess confidence undetected in documents. The occasion of sitemaps, meta tags and RSS feeds has being expanding on the Net, to portray the content of sites, especially on content which is frequently being updated ( e. g. facts content ). RSS allows site syndication, an landing to share content on the mesh, forasmuch as hike its accessibility & diffusion.
Copyright 2006 – Kostis Panayotakis
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