The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from...
Data Architecture describes the infrastructure that connects a Business Strategy and Data Strategy with technical execution. Ideally, Data Architecture happens within a systematic framework, providing a...
Image by Author To make the most out of data, organizations need efficient and scalable solutions that can store, process, and analyze data effectively....
With Amazon Redshift, you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard...
Data integration processes benefit from automated testing just like any other software. Yet finding a data pipeline project with a suitable set of automated...
Photo by Mikael Blomkvist Data quality plays a crucial role in any data management process. Organizations rely on data to inform their decision-making and...
Introduction
The data integration techniques ETL (Extract, Transform, Load) and ELT pipelines (Extract, Load, Transform) are both used to transfer data from one system to...
With our OLAP vs OLTP comparison article, we will explain about transaction processing methods. Although visually almost identical, the two words really describe whole...
