Cubes Data Brewery
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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.
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Data warehouses are used in industry to manage the many datasets accrued inside a company that might be relevant to reporting and analysis. I want to propose a similar pattern for investigative journalism. If we want to make open data .
Web Application Development and Linux Systems Engineering.
Data quality concerned adviser in the field of data governance policies, management, data warehouse architecture and data integration. New York, NY, USA.
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Cubes Data BreweryDESCRIPTION
Light-weight Python framework and OLAP HTTP server for easy development of reporting applications and aggregate browsing of multi-dimensionally modeled data. Business and analysts point of view on data. Dimensions with multiple hierarchies. Dimension templates - define complex dimensions. Localization of model and data. Easy development of exploration tools. Slice and dice through dimensions. Drill-down through any hierarchy. Automatic next level selection, if desired. Slicer is a HTTP OLAP cube.PARSED CONTENT
The domain cubes.databrewery.org states the following, "Light-weight Python framework and OLAP HTTP server for easy development of reporting applications and aggregate browsing of multi-dimensionally modeled data." We analyzed that the website stated " Business and analysts point of view on data." It also stated " 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."SEEK OTHER WEBSITES
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Algunas imágenes desordenadas, dos o tres millones de dudas sueltas y un obturador que hace click. Así comienza la existencia del fotonauta. Es inevitable pensar en la muerte. Antes de estar enfermo no pensaba casi nunca, pero ahora. La muerte forma parte de mi vida.
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