Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 3

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  data management
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1
Publication available in full text mode
Content available

Challenges Related to Identifying Sources and Document Collection for Big Data Analyses

100%
Gmiterek G.
e-mentor
|
2019
|
issue 3 (80)
4-9
EN
The modern information environment is dynamic and characterized by the speed with which multimedia content is created, collected, contributed to and shared. Users have access to documents which are part of large, changing and diverse sets of data, whose effective processing can lead, and frequently does lead, to new knowledge being discovered. However, the overwhelming majority of the resources available today require specialized tools and techniques for identifying, searching, collecting and organizing the large volumes of data. This also applies to data directly related to the activities of institutions dealing in information or the field of information science, especially the theory and practice of accessing, searching and collecting documents. The purpose of this article is to present selected issues and challenges related to exploring the possibilities offered by big data from the perspective of information science, the activities of libraries and the information resources they offer. Based on a critical analysis of the relevant literature and with use of inductive reasoning, experiments and observations, selected aspects of digital document accessibility and classification are presented, in addition to issues related to searching and identifying resources using tools currently offered by libraries (in particular discovery systems).
2
Content available remote

Nowoczesne techniki cyfrowe integrujące projektowanie, budowę i zarządzanie eksploatacją obiektu budowlanego

86%
Araszkiewicz K.
Świat Nieruchomości
|
2017
|
issue 1(99)
61-66
PL
Nieruchomości są przedmiotem coraz aktywniejszych działań zarządczych, a jednym z nowych podejść jest zarządzanie nieruchomościami według założeń Facility Management (FM). Celem artykułu jest przedstawienie założeń, potencjalnych korzyści oraz barier integracji koncepcji FM z metodą zarządzania przedsięwzięciami budowlanymi opartą o cyfrowe modelowanie informacji o budynku (BIM). Nowoczesne zarządzanie nieruchomościami wiąże się z koniecznością zarządzania ogromnym zbiorem danych, również tych wytworzonych na etapie projektowania i realizacji obiektu budowlanego. Model obiektu opracowany zgodnie z zasadami BIM, odpowiednio zaadaptowany może stanowić cenne wsparcie w eksploatacji obiektu budowlanego i w zarządzaniu nieruchomościami według koncepcji FM.
EN
Real estate is becoming an increasingly frequent object of active management activities, and one of the developing trends is property management in accordance with the Facility Management (FM) guidelines. The aim of this article is to present the guidelines, potential benefits and the barriers for integrating the FM concept with the method of construction management based on digital building information modelling (BIM). Modern property management needs coordinating a complicated flow of information and managing a large set of data, also those created at the stage of designing and construction of a structure. A model developed in accordance with the BIM principles, properly adapted, may be a very valuable support for the use of a building and for the practice of property management in accordance with the FM concept.
3

Data Analytical Processing in Data Warehouses

86%
Rostek K.
Foundations of Management
|
2010
|
vol. 2
|
issue 1
99-116
EN
The article presents issues connected with processing information from data warehouses (the analytical enterprise databases) and two basic types of analytical data processing in data warehouse. The genesis, main definitions, scope of application and real examples from business implementations will be described for each type of analysis. There will be presented copyrighted method of knowledge discovering in databases, together with practical guidelines for its proper and effective use in the enterprise.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.