Prologika Newsletter Spring 2014
I hope you are enjoying the beginning of the spring. The focus of this newsletter is self-service BI with Microsoft Power BI. But before I start, I strongly encourage those […]
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Prologika Newsletter Fall 2013
I hope you had a great summer. The chances are that your organization has a centralized data repository, such as ODS or a data warehouse, but you might not use […]
Two New Prologika Training Courses
Due to popular demand, we’ve added two more classes to our training curriculum. Applied SQL Fundamentals – This 2-day instructor led course provides you with the necessary skills to query […]
Getting Mobile Reports to Recognize SSAS Dates
Scenario: Some of the controls in SSRS 2016 mobile reports (previously known as Datazen) require a date field. The Mobile Publisher would refuse binding the control to an SSAS shared […]
Errata
Errata Book Preface Microsoft changed the links to the SQL Server 2008 databases. Please read the post titled Software Prerequisites (the first sticky post) on the book discussion list for […]
Prologika Newsletter Fall 2013
Prologika Newsletter Fall 2013 I hope you had a great summer. The chances are that your organization has a centralized data repository, such as ODS or a data warehouse, but […]
Prologika Newsletter Spring 2014
Prologika Newsletter Spring 2014 I hope you are enjoying the beginning of the spring. The focus of this newsletter is self-service BI with Microsoft Power BI. But before I start, […]
Prologika Newsletter Summer 2014
Prologika Newsletter Summer 2014 During the Day 1 keynote at the 2014 BA Conference, Microsoft committed to BI on your terms. They said that all new features will be eventually […]
Prologika Newsletter Winter 2014
Prologika Newsletter Winter 2014 After an appetizer of embedded Power View reports , Microsoft proceeded to the main course that is a true Christmas gift – a pubic preview of […]
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Prologika is a boutique consulting firm that specializes in Business Intelligence consulting and training. Our mission is to help organizations make sense of data by applying effectively BI technologies.
