Why You Should Blend Instead of Join in Tableau

Why You Should Blend Instead of Join in Tableau

Data blending in Tableau is the operation of combining multiple data sources into the same view by finding common fields between them to join on. Unlike an ordinary join, which combines data sources at the lowest granularity before any aggregation is done, a data blend can join data sources after aggregation is performed on the individual sources; ultimately limiting the number of records that...

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Data & Football: Using Big Data & Analytics to Visualize NFL Twitter Trends

Data & Football: Using Big Data & Analytics to Visualize NFL Twitter Trends

When I was growing up, my dad used to tell me “Work on something you love and it will never feel like work.” In our Advanced Analytics practice, our team shares a common love of data and complex problems.  We work on exciting challenges, pulling together experiences to determine the right tool for the job and deliver uncommon results. …

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How to Analyze Data Before a Data Migration or Integration

To most, data analysis is as exciting as auditing or watching paint dry. Strangely, I enjoy scrutinizing and exploring data, and do it frequently when implementing CRM applications and data warehouses. Properly analyzing your data before a data migration and integration is extremely important, because incomplete analysis leads to flawed logic, and a lot of hasty data remodeling and rewriting...

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Challenges of data warehouse carve-outs

Carving out a data warehouse can look like a straightforward task on the surface.  The path of least resistance would seem to be to replicate the parent’s environment as-is in the carve-out organization, using the exact same software and architecture.  However, this is not always going to be the best solution. …

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