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/ 4 MIN READ

How A Semantic Layer simplifies Your Data Architecture

*This post was originally published by the author, Anurag Singh. You can view the original post here . Making data accessible to everyone within an organization is a challenge that most companies face. For example,…

Posted By: Anurag Singh

/ 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

/ 5 MIN READ

A Business-Oriented Semantic Layer for Your Databricks Lakehouse

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. …

Posted By: Anurag Singh

/ 5 MIN READ

How to Turn Unstructured Medical Records Into Actionable Insights

Patient documentation has come a long way since the days of doctors writing patient notes with pen and paper. Today, Electronic Medical Record (EMR) systems can capture, exchange, and store medical records automatically. These advances…

Posted By: Dave Mariani

/ 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

/ 24 MIN READ

Developing an Enterprise Data Strategy

Many companies face challenges in developing a roadmap for data, insights, and analytics. This blog stresses how an enterprise data strategy is a critical guidepost for articulating an effective set of use cases and a…

Posted By: Brian Prascak

/ 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

/ 4 MIN READ

The Centralized Data Repository: Breaking Down Data Silos

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

Posted By: Dave Mariani