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…

Modern enterprises are changing their approach toward data warehousing due to rapidly evolving business environments and a massive influx of data being generated every day. Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional…

It’s been an exciting year for Astera! We successfully launched Astera Data Stack Version 10.0 as well as the newest addition to our platform: Astera API Management. Here’s a quick recap of everything we accomplished in 2022. Astera bagged 2…

Kimball-style dimensional modeling has been the go-to architecture for most data warehouse developers over the past couple of decades. The denormalized nature of these schemas, coupled with optimization for history maintenance, makes the dimensional model an ideal tool for the…

Data warehouses have long served as a single source of truth for data-driven companies. But as data complexity and volumes increase, it’s time to look beyond the traditional data ecosystems. In today’s digitized era, organizations must adapt to the evolving…