Category: Data Warehousing

ETL testing is a set of procedures used to evaluate and validate the data integration process in a data warehouse environment. In other words, it’s a way to verify that the data from your source systems is extracted, transformed, and…

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? …

To understand the difference between data lake vs data warehouse, it is important to understand the evolution of the technologies. Historically, databases served as structured repositories that excelled at storing and retrieving organized data. They operated within well-defined schemas, which…