March 21, 2024
Democratizing Your Lakehouse to Excel Users with Databricks SQL and AtScaleWhat’s The Deal With Excel? Excel is the most predominant BI tool in the enterprise because of its versatility, ease of use, and range of capabilities. It is the tool of choice for almost a billion analysts worldwide. However, whenever…
September 26, 2023
Modernize Legacy BI and OLAP Workloads with AtScale and Google BigQueryThis post is authored in partnership with Naveen Punjabi, Director of Analytics and Data Science Partnerships at Google Cloud. An original version of the post was initially published on the Google Cloud Blog. A partnership that brings new economics and…
November 3, 2022
Modernize Your SSAS Architecture with Databricks and AtScaleThis post was written in collaboration with Swaroop Oggu, Solutions Architect at Databricks. Dimensional analysis is an important tool for building analytics-oriented data products (e.g. interactive dashboards) based on data assets managed in a lakehouse. Historically, dimensional analysis has been…
September 20, 2022
Why the Semantic Layer Is Critical to the Hub-and-Spoke Analytics ModelAtScale had the opportunity to collaborate with Andrew Brust, Founder & CEO of Blue Badge Insights, to explore the history of the semantic layer concept. This post is a summary of his perspective published in a recent whitepaper, The Semantic…
June 23, 2022
How to Use Excel for Analytics in the CloudDespite having a billion users, Excel is not always thought of as a business intelligence (BI) tool. Yet Excel remains by far the predominant BI consumption platform in enterprise data because its formulas and functions make it a powerful tool…
April 26, 2022
How to Scale SSAS-Style Analytics with Databricks + AtScaleAs organizations become more data-centric, companies are bringing in data from more sources and storing more volume. That's only added more fuel to the ongoing data cloud 'platform wars', particularly with Databricks and Snowflake. With some exciting benchmark results recently…
March 22, 2022
Replace Your SSAS Capability in the Cloud with Modernized AnalyticsAs customers shift their data infrastructure to cloud data platforms such as Google BigQuery, Snowflake, or Databricks, AtScale is the only provider of a semantic layer and dimensional analysis capability that accelerates performance with no need to extract data from…
November 1, 2021
Why You Need Next-Gen OLAPBefore You Break Up with OLAP While relationships can be challenging at times, they are hopefully worth the effort. When your significant other repeatedly leaves the cap off the toothpaste or leaves dirty dishes in the sink, it might drive…
November 4, 2020
The Three Opportunities for Cloud OLAP to Improve Enterprise AnalyticsWhere is the industry going in terms of large scale data and machine learning data? We’ve made fantastic strides over the last five-eight years, but business-centric analytics has not reduced in value. Much of the business intelligence and data science…
August 18, 2020
Introducing AtScale 2020.3: Cloud OLAP Without “Owning” the DataThroughout AtScale’s history, our focus is to provide our customers with a business-friendly data interface which both abstracts away the complexity of the underlying data model and autonomously builds Acceleration Structures to optimize queries (performance and compute). As the data…
