Veiklos duomenų integravimas: problemos, ypatumai ir metaduomenų svarba
| Author | Affiliation |
|---|---|
Kalibataitė, Gražina |
Mykolo Romerio universitetas |
| Date |
|---|
2014 |
Originalumas/vertingumas – atlikta literatūros apžvalga leidžia atskleisti aktualias ir tam tikras, nulemtas įvairialypės įmonių veiklos bei technologijų aplinkos, integruoto duomenų tvarkymo situacijas; tvirtinti, kad esminis veiklos duomenų valdymo aplinkos elementas – integracijos procesas – tapo svarbiu kasdieniu uždaviniu. Nustatyta, kad itin mažai darbų, kuriuose yra tiriamos duomenų integravimo efektyvumo didinimo galimybės, ypač metaduomenų aspektu. Darbe pateikta išsami metaduomenų valdymo taikymo teikiamos naudos analizė integracijos požiūriu bei pristatyti integracijos tobulinimui tinkami būdai, nukreipti į metaduomenų naudojimą. Praktinis tyrimas teikia galimybę geriau pažinti ir savikritiškai įvertinti ŽI valdymo procesus, jų valdymą palaikančias IS (informacinius procesus) sąveikumo aspektu.
This adequate form of integration management (and information creation) can be suitable to support the environment of today‘s business world (i.e. when the complexity of integration increases and there is a thriving requirement for information integration needs), integration based on (controlled by) activity (enterprise) metadata and its management. This research showing that metadata – an essential element of data quality and safety integrity – can help constantly optimise and improve the information services and adapt them to the real (local) business needs of the enterprise. However, it is a daunting task – the metadata requirements are difficult to obtain and organise, because metadata is often very specific to different enterprise sectors, perceived differently and always need to be collected and exploited. Moreover, one must need and be able to deeply understand the semantics of the data, the scheme of the data source and to describe the schemes (a unique metadata). One also needs to work with several types of applications or tools (with modelling, integration, acquisition, storage, analysis, provision). Despite these and other difficulties in the work discussed, the necessity fact – the integration process needs to be provided with metadata information elements (e.g. with domain knowledge of activity/process, knowledge of activity expert). This is so because without metadata information, data integration cannot be designed effectively and qualitatively.