By the end of this two-part series, we will dive into what data warehouse architecture is and how to implement one for your organization. Part one will look at architectural layers and common data warehouse components, while part two dives into multi-tiered data warehouse architecture.

We’re thrilled to announce that both ThoughtSpot and Mode (acquired by ThoughtSpot in July 2023) have been recognized as Leaders in Snowflake's recent Modern Marketing Data Stack report! Given the ever-evolving landscape of modern data analytics products, organizations are looking to ThoughtSpot and Mode when seeking innovative solutions—helping them harness the power of their marketing data.

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.

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.

In a survey by the Harvard Business Review, 87% of respondents stated their organizations would be more successful if frontline workers were empowered to make important decisions in the moment. And 86% of respondents stated that they needed better technology to enable those in-the-moment decisions. Those coveted insights live at the end of a process lovingly known as the data pipeline.