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/ 8 MIN READ

High Code v. Low Code v. No Code Data Modeling

When my co-founders and I launched AtScale almost ten years ago, we set out to democratize analytics consumption for everyone, not just database experts. We were dismayed to see the new generation of visualization tools…

Posted By: Dave Mariani

/ 3 MIN READ

Now Available: AI-Link Lab Environment

At AtScale, we believe in applying data to solve key challenges in the modern data stack for the enterprise. Bringing together key data personas to align on objectives, data, and definitions is crucial for the…

Posted By: Zach Eslami

/ 7 MIN READ

Reducing Query Complexity with MDX and AtScale

In the previous blog in this series on Excel + AtScale, we demonstrated how to connect Amazon Redshift to an Excel Pivot-Table. AtScale is able to leverage Microsoft’s MultiDimensional eXpressions (MDX) protocol to natively deliver…

Posted By: Mario Mathiss

/ 5 MIN READ

Building a Semantic Layer with AtScale on Amazon Redshift

Using AtScale to establish a semantic layer on Amazon Redshift delivers several important benefits to modern data and analytics teams. As a single source of governed metrics, and dimensions, AtScale extends the value of Redshift…

Posted By: Dave Mariani

/ 4 MIN READ

AtScale in Action: How to Make Power BI Perform on Snowflake

Many enterprises today choose the Microsoft stack because it fits seamlessly with the Windows OS and existing business applications. That’s why AtScale has partnered with Snowflake to streamline reporting and analytics with Power BI .…

Posted By: Dave Mariani

/ 5 MIN READ

User Story: The Journey to Self-Service Data Analytics

Self-service data analytics is a major milestone for many enterprises, but it often requires an iterative approach to data and analytics architectures to get there. Learn more about how a multi-billion dollar consumer packaged goods…

Posted By: Dave Mariani

/ 4 MIN READ

Accessing Analysis-Ready Third-Party Data with a Semantic Layer

In a previous post, we talked about using AtScale’s semantic layer to merge Foursquare Places data with first-party data. By blending third-and first-party data, organizations can improve their decision-making capabilities using advanced analytics and predictive…

Posted By: Daniel Gray