Determining the optimal tuning settings for a Cognos Analytics environment can be a challenging and confusing exercise. Even when there is an understanding of how a specific setting behaves, there is no guarantee until it is implemented, that it will have the desired effect within a specific environment. Additionally, Cognos environments evolve over time as user bases shift and reporting requirements change. This leaves many Cognos administrators guessing and checking as they make settings changes to their Cognos environments. This methodology, unsurprisingly, is problematic.
Work has been quite intense and very high-level recently, so I was missing the state of flow and the builders high that accompany coding. And I thought it's a good time to learn something new and since I've been reading heaps of good things about Apache Spark, a course on it sounded like a worthwhile pursuit. With that in mind, I enrolled in Big Data Analysis with Scala and Spark and thoroughly enjoyed the experience.Read More
In every new release of Cognos, there are some ups, and there are some downs. And while some people may have a lot to complain about in Cognos Analytics, there are some shining advances that force me to forgive all the questionable design decisions (even the loss of the menu and button bars in Report Studio).Read More
With the latest versions of TM1, several of the customers I work with have experienced first-hand how much both general performance and TM1 Contributor behavior have improved. In this article I review ways to run stress tests in order to find out whether your TM1 model is scalable and reasonably stable.Read More