New in SQL Server 2016 – Part 2: Investing in the Already Mature Multidimensional Model

New in SQL Server 2016 – Part 2: Investing in the Already Mature Multidimensional Model

I recently attended Microsoft’s quarterly Minnesota BI User Group Meeting, and I particularly enjoyed learning from Will Weber (a Data Platform Solution Architect at Microsoft) about their upcoming release of SQL Server 2016. This is the second installment in a blog series that will summarize the various additions and enhancements that Microsoft is introducing to their BI stack from the...

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Data to Dashboard: Making sense of Big Data

Our Advanced Analytics  team’s obsession with the NFL led us on an ambitious journey to collect NFL Twitter data with the hopes to gather some useful insights. As the weeks went by, millions of tweets were collected. With this data being amassed, we established the arduous objective to understand the type of events that surround large influxes of tweets.…

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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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The Top 3 Reasons to Deploy PowerPivot to SQL Server Analysis Services (SSAS)

Microsoft’s PowerPivot add-in to Excel (2010 and 2013) is a powerful tool for business users to combine multiple types of data sources into a single pivot table. Leveraging technology shared by Microsoft SQL Server Analysis Services (SSAS) OLAP solutions, PowerPivot provides aggregated data filterable by a common set of attributes, which can be designed by users without having to engage an IT...

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