Transparent Querying Multiple-versions of Data Warehouse
نویسندگان
چکیده
منابع مشابه
XML Data Warehouse: Modelling and Querying
A large amount of heterogeneous information is now available in enterprises. Some their data sources are repositories of XML data or they are viewed as XML data independently on their inner implementation. In this paper, we study the foundations of XML data warehouses. We adapt the traditional star schema with explicit dimension hierarchies for XML environment. We propose the notion of XML-refe...
متن کاملA quality-aware spatial data warehouse for querying hydroecological data
Addressing data quality issues in information systems remains a challenging task. Many approaches only tackle this issue at the extract, transform and load steps. Here we define a comprehensive method to gain greater insight into data quality characteristics within data warehouse. Our novel architecture was implemented for an hydroecological case study where massive French watercourse sampling ...
متن کاملQuerying the Data Warehouse with the SQL Procedure SELECT Statement
To appreciate the wealth of information a data warehouse has to offer, you need to understand how to communicate with it. Information is typically accessed using an SQL query. The statement responsible for querying the many tables and returning the requested results in a data warehouse environment is the SELECT statement. It is an indispensable piece of the data retrieval process. This paper lo...
متن کاملQuerying Multiple Temporal Granularity Data
Managing and querying information with varying temporal granularities is an important problem in databases. Although there is a substantial body of work on temporal granularities for the relational data model [11], a comprehensive framework is lacking for the object-oriented paradigm. To the best of our knowledge, a formal treatment of temporal queries with multiple granularities has not been c...
متن کاملQuerying Data with Multiple Temporal Dimensions
This paper focuses on the problem of designing a query language for data models with multiple temporal dimensions. 1 Data Models with Multiple Temporal Dimensions Valid and transaction times are commonly recognized as the basic (orthogonal) temporal dimensions for data [2], and a variety of issues related these two dimensions have been systematically explored in the literature [3]. In parallel,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2006
ISSN: 1812-5638
DOI: 10.3923/itj.2006.250.259