Category: Data Warehouse Automation

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…

Staying afloat during a recession requires a proactive approach. As consumers tighten their purse strings and competition for customers grows fierce, businesses must find ways to stand out from the competition and avoid falling into red ink. The key is…