Category: Type

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. These large data volumes present numerous data…

The ability to have multiple team members contribute to a project and drive it to completion in time is invaluable for a product’s success, especially when it gets regular feature updates and enhancements based on customer feedback. Teams easily achieve…

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…

95% of businesses cite the need to manage unstructured data as a problem for their business.