Category: Blog

The emergence of digital applications and platforms has led to the prevalence of unstructured data, so much so that more than 80% of enterprise data is unstructured. Storing and analyzing this data is complex because it’s not machine-readable and must…

In Recognition of The Team’s Creativity and Passion for Continuous Innovation Jan. 12, 2023, Westlake Village, CA — We’re pleased to announce that Astera Data Stack has been named a winner in the 2023 BIG Innovation Awards presented by the…

The primary purpose of a data warehouse is to serve as a centralized repository for historical data that can be quickly queried for BI reporting and analysis. Data modeling—which defines the database schema—is the heart of your data warehouse. Learn…

Salesforce announced its strategic partnership with Amazon Web Services in 2016. It wasn’t long before the “#1 CRM provider “went ahead and partnered with Microsoft Azure in 2019 and then soon made a deal with Alibaba Cloud to extend its…

To begin our exploration of automated dimensional modeling, it’s essential to first gain an understanding of dimensional modeling. Dimensional modeling is among the most preferred design approaches for building a data warehouse. First introduced in 1996, Kimball’s dimensional data models…