Category: Data Warehousing

Software engineers have long relied on unit tests and integration tests to protect application quality. Yet, in many data teams, ETL pipelines remain lightly tested or tested manually, even though a broken transformation can crater an executive dashboard or derail […]

As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. Only 5% of businesses feel they have data management under control, while 77% of industry leaders consider growing volume of data one […]

What is a Star Schema? Introduced in 1996 by Ralph Kimball, a star schema is a multi-dimensional data modeling technique. It is the simplest schema type businesses use in data warehousing. Based on its name, a star schema is like […]

In this article, we’ll discuss how Amazon Redshift works and how it compares to traditional on-premises data warehouses. We’ll also explore how Astera helps businesses use Amazon Redshift to its full potential with a native data connector. What is Amazon Redshift?  […]