We take you through 10 best practices, considerations, and suggestions that can enrich your Microsoft Teams deployment and ensure both end-user adoption and engagement.
I recently participated in a webinar on the topic of Big Data/Advanced Analytics and how the Microsoft platform supports it. My colleague Shankar RamaNathan spoke first about the various challenges of truly seeing ROI out of Big Data initiatives. Then I spoke about how the Microsoft Data Platform, both in the cloud and on-premises, provides a compelling value proposition for exploring Big Data.
We discuss various use cases, the obstacles to success with Big Data, resourcing needs, level of investment, and then various offerings from Microsoft that help address those challenges. In particular, I cover cloud-based tools like Azure HDInsight, Azure Machine Learning, and on-premises Big Data capabilities in Microsoft’s Analytics Platform System (APS). I try to place these tools in the overall context of the Microsoft Data Platform, and explain how they might help address specific platform concerns related to leveraging Big Data.
Our awesome marketing department has graciously posted a video of that webinar here on YouTube.