The 'T' in ETL didn't disappear — it just got better timing. Learn why cloud warehouses enabled ELT, when ETL still makes sense, and how DBConvert Streams gives you both patterns in one platform. Plus: see custom SQL transformations during migration in action.

DBConvert Blog offers insights, tutorials, and updates on database migration, synchronization, and conversion tools. Covering topics such as SQL database management, data migration strategies, and database administration best practices, DBConvert Blog provides resources for database administrators, developers, and IT professionals seeking to streamline their database operations and ensure data integrity across different platforms and environments.

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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.

ETL vs ELT — Why the 'T' Moved to the End in the Cloud Era

Cloud Warehouses Enabled New Possibilities