How to Prepare for the Tableau Desktop Qualified Associate Exam for Free

How to Prepare for the Tableau Desktop Qualified Associate Exam for Free

I recently took the Tableau Desktop Qualified Associate Exam and passed it without spending anything on preparation materials. Having taken other certification exams before, I knew that study guides issued by exam providers don’t always provide the most thorough methods of preparation. In preparing for this exam, I was unsure about the best approach for studying, and ended up exhausting the...

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Is Data Warehousing really dead?

Is Data Warehousing really dead?

Traditional data warehousing was pioneered by Ralph Kimball and Bill Inmon in 1970s to address growing problem of accessing data for reporting and analytics from multiple disparate data sources. Key drivers and goals of data warehousing are: Collect data from multiple sources into a single repository Expose data for reporting and analytics in a performant way Keep full history of data...

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Power your Project Management with Power Query

Power your Project Management with Power Query

When running a project, every project manager (PM) maintains a task list, in some form or fashion, to be able to track their progress. Sometimes the PM manages and maintains one task list; however, when projects scale, more complex tracking techniques are needed. A common problem for PMs is the need to consolidate data from several teams, in the form of task lists, status reports or weekly...

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Demystifying Elasticsearch

Demystifying Elasticsearch

Is your app’s searching capability not scaling to meet added load? Do your searches slow as your transactional data volume grows? Do you have complex, hard to maintain stored procedures that function as your main search components? If you answered yes to any of these questions, you may have spent some time looking at search technologies, such as Elasticsearch, Solr, Lucene, and SQL...

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Make Your CRM Work for You:  Maximize Your Investment by Integrating Actionable Customer Insights

Make Your CRM Work for You: Maximize Your Investment by Integrating Actionable Customer Insights

Many organizations today look to CRM as a starting point to improve their customer experience. The first step in a successful CRM implementation is to collect and display historical transactional customer data to help gain visibility into your customer base to reactively engage with customers. However, most CRM implementations stop after this first crucial step.…

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Leverage open-source GIS to enhance geographic visualization in Tableau

Leverage open-source GIS to enhance geographic visualization in Tableau

Among the many reasons Tableau has remained a leader within Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms is that it continues to empower analysts without expert knowledge of reporting tools to create a wide variety of meaningful and clear data visualizations. Tableau’s mapping capabilities in particular are a prime example of how a potentially complicated...

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Open-Source Data Visualization Tools versus Traditional Data Visualization Tools

Open-Source Data Visualization Tools versus Traditional Data Visualization Tools

Industry-leading modern BI data visualization tools such as Tableau, Qlikview, and Microsoft’s Power BI offer an excellent platform for businesses to visualize their data, but in terms of functionality, licensing costs, and overall fit, sometimes open-source solutions can meet the business needs more closely. Open-source data visualization solutions are typically based upon the JavaScript...

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Three Common Errors in Predictive Analytics and How to Solve Them

Three Common Errors in Predictive Analytics and How to Solve Them

Using statistical and predictive techniques on datasets can generate key insights that businesses may otherwise never realize. The power of such techniques has been a feature of modern analytics that many large companies have been investing in. Still, with all of this energy, talent, and capital flowing into predictive analytics, there have been some growing pains associated with it.…

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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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The Cloud in Your Server Room

The Cloud in Your Server Room

If you haven’t heard yet, Microsoft’s Azure Stack was made available in preview-mode early February. I know what you might be thinking – “Another piece of cloud technology? I don’t have time to keep up with all this cloud stuff.” There is one major difference here: Azure Stack allows organizations to implement cloud architecture in-house, plugged right into their existing infrastructure.…

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5 Keys to Success for Modern Data-Driven Organizations

5 Keys to Success for Modern Data-Driven Organizations

This February, Gartner announced a somewhat unexpected change in categorization language in their 2016 BI (Business Intelligence) & Analytics Magic Quadrant by introducing the concept of “Modern BI Platforms.” This shift sent ripples through the BI platforms space as vendor positioning shuffled, leaving Microsoft, Tableau, and Qlikview as leaders when the dust settled.…

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New in SQL Server 2016 – Part 1: A Much Needed Facelift for the Tabular Model

New in SQL Server 2016 – Part 1: A Much Needed Facelift for the Tabular 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 blog series will summarize the various additions and enhancements that Microsoft is introducing to their BI stack from the perspective of a BI developer.…

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