The post explores the evolution from ETL to ELT in the cloud era, highlighting how cloud-native data warehouses like Snowflake, BigQuery, and Amazon Redshift enable ELT by offering elastic compute, cheap storage, and built-in parallelism. It discusses the advantages and use cases of both ETL and ELT, and introduces DBConvert Streams, a platform capable of handling both approaches with features like auto-schema recreation and cross-database compatibility. The post provides insights into when to choose ETL or ELT based on data quality, compliance, and flexibility needs.
Table of contents
Cloud Warehouses Enabled New PossibilitiesEnter DBConvert StreamsWhen to Choose ETL vs ELTCustom Transformations During MigrationThe Modern Data StackThe VerdictReady to Try Both ETL and ELT?64 Impressions