When Is It Time to Ditch Your ETL?
Extract, transform, and load (ETL) served enterprises well for many years. But as data volumes and diversity explode, traditional ETL can buckle under the weight. If your ETL process lacks flexibility or requires too much overhead, switching to extract, load, and transform (ELT) may be time. Signs Your ETL Is Holding You Back How can you tell if your ETL pipeline is no longer pulling its weight? Here are some red flags: ● Lengthy processing times - If your ETL jobs take too long to run, it slows downstream analytics and decisions. As data grows, this problem compounds. ● Frequent failures - Rigid ETL jobs tend to break more often. While some failures are expected, frequent issues frustrate users and IT. ● Scaling challenges - Adding data sources and user taxes ETL architectures. At a certain point, scaling out legacy ETL becomes prohibitive. ● M...