Blog:
Cloud Data Platforms

Updated February 1, 2022

A semantic layer strategy lays the foundation for a scalable business intelligence and enterprise AI program and complements the power of modern cloud data platforms.  Key benefits include: Business metrics stay consistent across the organization.  Analysts can access a broader…

Updated October 12, 2021

This is the first of a three part blog series discussing the power of AtScale and Snowflake to help enterprise data science teams scale and leverage the agility of a cloud based infrastructure.  We have written before about the power…

Updated September 14, 2021

In a recent post, we discussed how a semantic layer helps scale data science and enterprise AI programs. With massive adoption of Snowflake’s cloud data platform, many organizations are shifting analytics and data science workloads to the Snowflake cloud. Leveraging the…

Updated August 12, 2021

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 for business intelligence and data…

Updated August 5, 2021

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. If you haven’t seen our previous…

Updated June 10, 2021

The ability to access data from Snowflake in a consistent manner is crucial for scaling analytics programs and building a self-service BI culture. In addition to providing control and analytics governance, the AtScale universal semantic layer accelerates BI query performance…

Updated April 29, 2021

Attention Power BI enthusiasts, what I am about to say is huge! AtScale now lets you get Live Query access to cloud data warehouses within a full, multi-dimensional model. This means you get live access to your cloud data with…

Updated February 24, 2021

In a live webinar on February 25th, Greg Mabrito, Director of Data and Analytics at Slickdeals and Dave Mariani, Chief Technology Officer at AtScale will share how the Slickdeals team is building a cloud data platform to extract maximum value from their data…

Updated December 8, 2020

For practical reasons, it is increasingly difficult—and sometimes impossible—to perform large-scale analytics with an on-premises data warehouse. Scaling physical hardware to the needs of your customers is so cost intensive that you might well find yourself running a data center…

Updated November 30, 2020

We just wrapped our session at the November 2020 Global Azure Data and AI Fest in the Reporting and Analytics track. We were in great company with Microsoft, Databricks, and other Big Data & AI industry leaders. Dave Mariani, AtScale…

Updated October 22, 2020

The new solution provides seamless integration between live data in InterSystems IRIS and the most popular business intelligence (BI) tools including Tableau, Microsoft Power BI and Microsoft Excel. InterSystems IRIS Advanced Analytics makes it fast and easy for data designers…

Updated September 16, 2020

Let’s talk about the results. In our most recent webinar with bol.com, Maurice Lacroix, BI Project Owner of bol.com and I shared how Maurice and his team are increasing the ROI in their Google BigQuery investment while boosting their BI…