blog.databrewery.org

Data Brewery Blog

2014-09-02 by Stefan Urbanek. Cubes 1.0 Released - Pluggable Data Warehouse. Finally it is here: Cubes 1.0. 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. New SQL Backend Features. Detailed list of changes. Multiple models per workspace/server instead of only one. Measure represents a n...

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2014-09-02 by Stefan Urbanek. Cubes 1.0 Released - Pluggable Data Warehouse. Finally it is here: Cubes 1.0. 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. New SQL Backend Features. Detailed list of changes. Multiple models per workspace/server instead of only one. Measure represents a n...

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Data Brewery Blog | blog.databrewery.org Reviews

https://blog.databrewery.org

2014-09-02 by Stefan Urbanek. Cubes 1.0 Released - Pluggable Data Warehouse. Finally it is here: Cubes 1.0. 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. New SQL Backend Features. Detailed list of changes. Multiple models per workspace/server instead of only one. Measure represents a n...

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blog.databrewery.org

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Data Brewery Blog

http://blog.databrewery.org/tag/howto.html

2011-11-28 by Stefan Urbanek. How-to: hierarchies, levels and drilling-down. In this Cubes OLAP how-to we are going to learn:. How to create a hierarchical dimension. How to do drill-down through a hierarchy. In the previous tutorial. We learned how to use model descriptions in a JSON file and how to do physical to logical mappings. Data used are similar as in the second tutorial, manually modified IBRD Balance Sheet. Taken from The World Bank. In our example we have the. You can see a slight difference ...

2

Data Brewery Blog

http://blog.databrewery.org/tag/olap.html

2014-09-02 by Stefan Urbanek. Cubes 1.0 Released - Pluggable Data Warehouse. Finally it is here: Cubes 1.0. 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. New SQL Backend Features. Detailed list of changes. Multiple models per workspace/server instead of only one. Measure represents a n...

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Data Brewery Blog

http://blog.databrewery.org/tag/slides.html

2014-02-20 by Stefan Urbanek. Cubes Workspace Redesign Pluggable Model. Here is a short presentation about the Cubes workspace changes:. Cubes pluggable model explained. Most recent Cubes sources can be found on github. Read the development documentation. 2011-06-08 by Stefan Urbanek. And contributors. Brewery, Cubes and its documentation are licensed under slightly modified MIT license. Design by Andrej Sykora. Website generation by Pelican.

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Data Brewery Blog

http://blog.databrewery.org/tag/announcement.html

2013-08-02 by Stefan Urbanek. Introducing Expressions for Python. Expressions is a lightweight arithmetic expression parser for creating simple arithmetic expression compilers. Goal is to provide minimal and understandable interface for handling arithmetic expressions of the same grammar but slightly different dialects (see below). The framework will stay lightweight and it is unlikely that it will provide any more complex gramatical constructs. Numbers and strings (literals). Binary and unary operators.

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Data Brewery Blog

http://blog.databrewery.org/tag/opendata.html

2011-03-23 by Stefan Urbanek. Brew data from Scraper Wiki. New subproject sprouted in Brewery: Opendata. The new package will contain wrappers for various open data services with APIs for structured data. First wrapper is for the Scraper Wiki. There are two new classes:. For plain data reading and. Copy data from Scraper Wiki source into a local database. Table will be automatically created and replaced according to data structure in the source:. The stream looks like this:. Possible use, besides during ...

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2014-09-02 by Stefan Urbanek. Cubes 1.0 Released - Pluggable Data Warehouse. Finally it is here: Cubes 1.0. 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. New SQL Backend Features. Detailed list of changes. Multiple models per workspace/server instead of only one. Measure represents a n...

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