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/ 4 MIN READ

Using a Semantic Layer to Replace SSAS and SSAS Cubes

AtScale connects to data where it lies. Whether it’s stored in a data lake like Hadoop or a cloud data warehouse like Snowflake, the data stays where it is. There is no pre-compute, data aggregation,…

Posted By: Arthur Lindow

/ 4 MIN READ

How to Liberate Your Data [Scientists] with a Semantic Layer

Every business decision, keystroke, or mouse click is a potentially valuable data point. Most companies don’t have any trouble generating and storing their data these days, and there are mature technologies that help companies break…

Posted By: Gaurav Rao

/ 5 MIN READ

Using AtScale’s Semantic Layer with Data Science Use Cases

AtScale’s semantic layer allows users to have one single place to define business constructs like KPIs (i.e. time series calculations) and first-class dimensionality/hierarchies (i.e. time, geography, product, customer, etc.). Whether you are on the business…

Posted By: Daniel Gray

/ 9 MIN READ

Building a Practical Data Fabric at Scale

Introduction to Data Fabric We have written about the concept of the “Data Fabric” in the past. While not new, it is an increasingly cited topic to help organize the many technologies and strategies employed…

Posted By: Dave Mariani

/ 4 MIN READ

How Third-Party Data Modeling Enables Smarter Decisions

While the use of external data has been around for a long time in some industries, the demand for more data sources continues to grow across all verticals. In fact, research by Forrester and Pitney…

Posted By: Cort Johnson

/ 2 MIN READ

Data News Roundup- January 21st, 2021

Welcome back to our “Data News Roundup” for this week! We hope that you all had a chance to check out the details for our upcoming webinar, “How to Blend Data from Salesforce, Google Analytics,…

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