This is a continuation of the QuickSight series of posts, focusing on AWS QuickSight’s new feature, Q. Q is a machine learning powered querying capability in QuickSight that allows business users to query using their everyday natural language. Q is a way for organizations to break from the traditional BI mold. Previously, organizations needed a BI analyst or engineer to build out their dashboards.
Read MoreThis article is the continuation of the Amazon QuickSight Complete Guide Series, focusing on the topic of getting your QuickSight environment set up and ready to use. If you haven’t checked out the first installment of the Amazon QuickSight Complete Guide, covering Pricing and Editions, I would recommend you take a couple of minutes to check it out. The series of QuickSight posts will detail everything you need to know about QuickSight as well as some walkthroughs of the main tools.
Read MoreLet’s deep dive into how to improve the performance of a complicated report by utilizing MDX and switching to a multidimensional source to reduce the runtime of each selection to under 1 min.
Read MoreQuickSight is rapidly evolving into a top-notch BI and data visualization tool and even entered the Gartner Magic Quadrant for BI this last year. QuickSight is fundamentally a very good visualization and reporting platform, but with all the options available in the crowded BI market, what are the top reasons to choose Amazon QuickSight?
Read MoreAmazon (AWS) QuickSight is a fully managed business intelligence service. This means it is a cloud-based service that is globally available, has built-in redundancy, and enterprise-grade security. This allows your business to deliver easy-to-understand insights to users, regardless of their location. Because QuickSight is a relatively new BI tool, most people may be unfamiliar with its features and benefits. So, let us take a look at what differentiates QuickSight from other BI tools and then get into editions and pricing.
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