Data integration patterns – ETL, ELT, and others
After looking at different data integration models and architectures, it’s time to look at data integration patterns. These patterns describe best practices and approaches for combining data from several sources into a coherent and useful shape. You may solve unique integration difficulties and guarantee that your data integration efforts are efficient, accurate, and scalable by understanding and implementing these patterns.
This section will go through three major data integration patterns: ETL, ELT, and other notable patterns such as CDC and data federation. We’ll go over the properties and ramifications of each pattern, as well as present examples to show you how these patterns might be used in real-world circumstances.
The most utilized patterns are ETL and ELT, which focus on how data is extracted, converted, and loaded into a target system. The key distinction between the two is in the order in which...
