A data warehouse is very much a necessity for modern enterprises, as reflected by the $30 billion market size in 2025, which is expected to increase to $85.7 billion by 2032. The debate has moved from “Should we have a…
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Category: Data Warehousing
- Blog
ETL Testing: Processes, Types, and Best Practices
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…
- Blog
Data Vault 101: A Comprehensive Guide to Scalable Data Warehousing
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 Star Schema? Advantages and Disadvantages
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…
ETL Data With Astera’s Native Connector for Amazon Redshift
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? …