A GIS-based relational data model for multi-dimensional representation of river hydrodynamics and morphodynamics[J] . Dongsu Kim,Marian Muste,Venkatesh Merwade.Environmental Modelling and Software . 2015Kim, D., Muste, M., Merwade, V. (2015). "A GIS-based relational data model for multi-dimensional representation of r...
In contrast, the standalone term warehouse refers to a Fabric Warehouse, which is a software as a service (SaaS) relational database offering that you can use to implement a data warehouse. For clarity, in this article the latter is mentioned as Fabric Warehouse....
Dimensional Model Evaluation Dimensional modeling has strengths and weaknesses, just as relational modeling does. In the reality of databases, there are three ways to improve performance: use better hardware, use better software, and optimize the data. Dimensional modeling uses the third method. The...
Tabellarisch in Azure Analysis Services 1 Relationale Modellierungskonstrukte (Modell, Tabellen, Spalten), die in Tabellenmetadatenobjektdefinitionen in TMSL (Tabular Model Scripting Language) und TOM-Code (Tabular Object Model) artikuliert werden. 2016 1200 und höher Tabellarisch in Power B...
ER models do have their place in the data warehouse. First, the ER model should be used in all legacy OLTP applications based on relational technology. This is the best way to achieve the highest transaction performance and the highest ongoing data integrity. Second, the ER model can be used...
Many database management systems (DBMS) that are used today focus on the relational data model; such systems are called relational database management systems (RDBMS) [8, 9]. They are optimized for ad-hoc query processing, transactions, and consistency. However, these features make it hard to...
OLAP, Relational, and Multidimensional Database Systems. Technical report, CA, 1995. [18] T. Palpanas and N. Koudas. Entropy based Approximate Querying and Exploration of Data Cubes. SSDBM, 2001. [19] A. Silberschatz and A. Tuzhilin. What Makes Patterns Interesting in Knowledge Discovery ...
We've recently run into a challenge when the naming convention or definition (expression) of measures within the model change. Our stakeholders want visibility into that process and would like a history of those changes in the dictionary. My data dictionary report relies...
As powerful as it is with unstructured data, Weaviate does not perform some powerful SQL-like operations, which leaves it unfit for traditional relational database scenarios. Although scalable, the cost of maintaining large-scale deployments can escalate, especially when combined with cloud infrastructu...
Names vs. Keys: Looking at the relational database, it might not be immediately obvious that EmployeeID is a meaningless, unique, system generated key. The UDM, however, allows the Employee attribute to have both a key (the unique EmployeeID), and a name (in this case, a concatenation ...