A robust data warehouse is pivotal for enterprises to make data-driven decisions and compete more strategically. Therefore, companies must adopt agile data warehousing techniques to stay on top of the competition.   The traditional waterfall development model is not a viable method to achieve business efficiency….

ETL (extract, transform, load) has been the traditional approach for data analytics and warehousing for the last couple of decades. However, today we also have the option of ELT (extract, load, transform) an alternative approach to data processing. Ever since…

With the official launch of our end-to-end data warehousing solution Astera DW Builder, we’ve introduced a much faster, more agile path to designing and deploying data warehouses. But that’s just the beginning, we’re planning some major additions and updates to…

Migrating your data warehouse to the cloud is crucial. As organizations begin to realize the need for and importance of data analytics, more and more of them are looking into implementing an enterprise data warehouse to leverage data that would…

Legacy data warehouse modernization refers to the process of transforming existing data pipelines to adapt to modern systems of data retrieval and communication. This involves a complete restructuration of data handling procedures within an organization, in order to leverage faster…