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A cross-cloud semantic layer gives you one consistent, governed view of your data no matter which cloud warehouses or lakehouses it lives in, so you don’t have to duplicate metrics logic across Snowflake, Databricks, BigQuery,…

AtScale’s partnership with Snowflake has dramatically expanded our customers’ data processing capabilities — guiding them toward analytics modernization. From delivering analysis-ready data to extending legacy tool services through dialect support, data practitioners can now deliver…

During another round of interviews with data leaders, I spoke with several industry experts about creating and fostering a data-driven culture. We discussed different data architectures, the gap between data produced and data consumed, data…

When it comes to effectively consuming data for business insights, there are six key areas: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the…

You might remember that, when we refer to “The Cloud”, we talk about the infrastructure that lets your people do data analytics at a wide scale. We’ve written pieces like “the 6 principles of modern data architecture” to provide a guide for how to ‘treat data’ through your modernization journey. And we’ve provided tools like the Data Maturity Survey to assess where you might be, along that journey. This week, we’re sharing a piece from 451 Research that we think will help you survive through the inevitable ups and downs of your digital and cloud transformation.

In our most recent webinar , four data-driven leaders from Cardinal Health, Slickdeals, bol.com and Wayfair joined us for a panel where they discussed how they are scaling smarter decision-making across their organizations and making…

Late last year, Gartner published their first Market Guide for Analytics Query Accelerators (available with Gartner Subscription).  They loosely define this broad set of technologies as providing “[query] optimization on top of semantically flexible data…

Data is everywhere. With dozens of SaaS sales,  marketing, and other business applications in use today, companies are witnessing an exponential rise in the volume of data they can access, leverage, and exploit. The same…