Data Architects, DBA's, Analysts and Designers rely on Data Modeling tools to facilitate and simplify their data Modeling efforts, while maximizing the use of their resources. The Power*Architect allows these busy highly technical resources to perform this most intricate part of their job in a fraction of the time.
The Power*Architect is a user-friendly data modeling tool created by data warehouse designers, and has many unique features geared specifically for the data warehouse architect. It allows users to reverse-engineer existing databases, perform data profiling on source databases, and auto-generate ETL metadata.
Plus, the Power*Architect has the ability to take snapshots of database structures, allowing users to design DW data models while working offline.
Whether you are building a Data Warehouse or using data models to communicate business rules, the Power*Architect will facilitate and automate your data modeling efforts.
PostGIS adds support for geographic objects to the PostgreSQL object-relational database. In effect, PostGIS "spatially enables" the PostgreSQL server, allowing it to be used as a backend spatial database for geographic information systems (GIS).
Does your SQL statement have a WHERE clause? I know this sounds obvious, but don't retrieve more data than you need. However, less obvious is that even if your SELECT statement retrieves the same quantity of data without a WHERE clause, it may run faster
Does your SQL statement have a WHERE clause? I know this sounds obvious, but don't retrieve more data than you need. However, less obvious is that even if your SELECT statement retrieves the same quantity of data without a WHERE clause, it may run fast
J. Torres-Jimenez, N. Rangel-Valdez, H. Avila-George, and L. Gonzalez-Hernandez. Proceedings of the third International Conference on Advances in Databases, Knowledge, and Data Applications - DBKDA, page 83--88. St. Maarten, The Netherlands Antilles, January 23-28, IARIA, (2011)
B. Howe, G. Cole, N. Khoussainova, and L. Battle. Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, page 1319--1322. New York, NY, USA, ACM, (2011)