Excel 2013 brings forward an array of new and exciting features at the finger tips of the data analysts, ranging from a shiny new visualization and exploratory data analysis platform (PowerView) to a number of new pivoting features as well as a powerful in-memory data modelling engine (PowerPivot) enabled by default.

Among all these features, the new Excel delivers a few different options for visualizing geographical and location based data, each visualization technique serving a different purpose (with a specific set of features) or targeting a particular demographic segment of the over-all Excel user-base. This is a short post introducing some techniques for visualizing geo information in Excel.

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On one corner we have Hadoop, a massively distributed JVM-based data processing engine with a Map & Reduce API and a proven track record in handling huge data-sets. On the other corner we have SSIS, a natively non-distributed ETL engine part of the SQL Server family tool-set with .NET code extensibility features and a drag and drop UI (for the most part anyway). Two sweet technologies, probably shouldn’t be compared to each other but we’re doing it anyway, pitted head to head against a data mapping task to the death (or at least to the recycling of my test VMs)… Now FIGHT!

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