Semantic layers are a game changer, allowing organizations to define metrics and business logic in one, centralized location. Because business users can trust that their data is built on a single source of truth, the semantic layer also empowers self-service analytics. Looker Modeler has become a leader among semantic layers, allowing users to seamlessly layer on top of their business data.
In the first two parts of our Inside Flink blog series, we explored the benefits of stream processing with Flink and common Flink use cases for which teams are choosing to leverage the popular framework to unlock the full potential of streaming. Specifically, we broke down the key reasons why developers are choosing Apache Flink® as their stream processing framework, as well as the ways in which they are putting it into practice.
ThoughtSpot users can easily create content with data using our intuitive, AI-powered search experience. However, business users sometimes find themselves asking a critical question: which content should I trust and use for my specific business use case? For example, if there are ten “Sales Performance” Liveboards created by different authors, you may wonder which is the golden version—the Liveboard that is reviewed, approved, and consistently maintained.
