Semantic Layer vs. Metric Layer in Business Intelligence [English]

Abstract
Metrics are an emerging type of BI artifact that packages data into a format optimized for consumption by non-technical business users. Over the last few years two types of technologies, the semantic layer and metric layer, have arisen independently. They both support the creation of metrics.

In this talk, you will learn:
👉 Which needs do metric and semantic layers address - for data teams and business teams?
👉 What differentiates these technologies and why do they have such similar capabilities?
👉How can these technologies be used together in BI tools to take advantage of the strengths of both?
Speaker: Graham Watts, Senior Software Architect @Klipfolio

Panel Discussion
Thought leaders will discuss the opportunities for data teams and how these technologies will shape the future of BI.
Panelists:

Nick Handel, Director of Product @dbt Labs
Previously Co-Founder and CEO of Transform. In his early days as a Data Scientist at Airbnb, Nick learned that most businesses were continuing to track the same North Star metrics from the very early days. This observation inspired him to work on a foundation for the revamped dbt Semantic Layer in his days at Transform.
Magnus Dahlbäck, Senior Director Data and Platform @Voi
Former Head of Data Engineering at Telia. Magnus is advocating for a new approach to making data-driven decisions: “Metrics are the core of running a data-driven business. However, most data teams continue to overlook this. Instead, there's too much emphasis on data and dashboards rather than on metrics.”
Graham Watts, Senior Software Architect @Klipfolio
As one of the first thought leaders and metric experts in the space, Graham has worked on and helped design the Klipfolio PowerMetrics metrics layer. He’s been a driving force behind building the first hybrid solution that combines the metric and semantic layer.

https://big-data-demystified.ninja/20...