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/ 6 MIN READ

Using the Semantic Layer for AI/ML Product Development

The influx of data has increased exponentially over the last decade. As illustrated below, data creation is expected to grow by 86% by 2025 due to an increased digital footprint during the pandemic. [caption id=”attachment_20629″…

Posted By: Vidhi Chugh

/ 3 MIN READ

Three Ways a Semantic Layer Helps Scale AI and BI

AtScale partnered with the DBT Institute to research current sentiment among analytics professionals on the impact a semantic layer has on enterprise analytics . The recently released report, “ The Business Impact of Using a…

Posted By: Josh Epstein

/ 5 MIN READ

Getting Started with a Semantic Layer on Snowflake | AtScale

More than a decade into the big data era, data quality is still the top obstacle for data teams. Over 56% of data professionals cite poor data quality, incomplete, inconsistent, or outdated, as their most…

Posted By: Dave Mariani

/ 9 MIN READ

Defining the Modern Data Landscape

The purpose of this blog is to introduce the modern data landscape. We want to provide our perspective on the data and analytics industry — where we’ve been, where we are now, and where we…

Posted By: Brian Prascak

/ 6 MIN READ

How To Improve Data Quality Using a Semantic Layer

Data quality is one of the most difficult — yet essential — elements for businesses to master to achieve their operational goals. This post explores multiple facets of data quality and explains how to turn…

Posted By: Vidhi Chugh

/ 5 MIN READ

4 Key Takeaways from the Semantic Layer Summit

We recently hosted a virtual Semantic Layer Summit with our friends at Snowplow, Databricks, DAS42, and InterSystems. During the event, we gathered data leaders and top industry technologists to discuss the importance and impact of…

Posted By: Dave Mariani