0 Released - Pluggable Data Warehouse. Many of you are already using it from Github. Or from PyPi, it just has not been officially released, so here we go. Cubes now brings a light-weight way to create concept-oriented pluggable data warehouse from multipe sources. Analytical Workspace and Model Providers.

Videotext for the twenty first century. Backpacking in the Eastern Sierras.

This was supposed to be an SVG document in an object element. We are all able to think, some of us to conceive innovative ideas but for all it is difficult to translate ideas into artifacts. We are passionate about learning. Are committed to self-development by continuous learning, encouraging others, learning by teaching and looking over our profession. To those wishing to improve their life. Such as games, apps, languages and learning tools.

This was supposed to be an SVG document in an object element. We are all able to think, some of us to conceive innovative ideas but for all it is difficult to translate ideas into artifacts. We are passionate about learning. Are committed to self-development by continuous learning, encouraging others, learning by teaching and looking over our profession. To those wishing to improve their life. Such as games, apps, languages and learning tools.

Data quality concerned adviser in the field of data governance policies, management, data warehouse architecture and data integration. New York, NY, USA.

Light-weight Python framework and OLAP HTTP server for easy development of reporting applications and aggregate browsing of multi-dimensionally modeled data. Dimension templates - define complex dimensions. Localization of model and data. Easy development of exploration tools. Slice and dice through dimensions. Automatic next level selection, if desired. Slicer is a HTTP OLAP cube.

Framework for data processing and data quality measurement. Basic concept are abstract data objects, operations and dynamic operation dispatch. Bubbles is performance agnostic at the low level of physical data implementation. Performance is assured by the data technology and appropriate use of operations. When you might consider using Bubbles? Learn more about unknown datasets.