For the big data focused ELT workloads where data is moved between data services (SQL Server, Blob Storage, HDInsight and so forth) and activities applied whilst the data is in place (SQL queries, Hive, USQL, Spark) Data Factory V1 really excelled, but for those who wanted to move their traditional ETL delta extracts to Data Factory, it wasn’t quite there. It’s fair to say that in its initial incarnation, Data Factory didn’t allow for more traditional ETL workloads without some complex coding (more than you were used to if you came from the world of SSIS and similar ETL tools). Incremental Loads using the new Lookup ActivityĪnd it’s this last item that today’s article is about.Introducing the first proper separation of Control Flow and Data Flow to allow more complex orchestrations such as looping, branching and other conditional flows.Ability to schedule Data Factory using wall-clock timers or on-demand via event generation.Lift your SSIS workloads into Data Factory and run using the new Integrated Runtime (IR).AWS Lambda: As a serverless compute service, AWS Lambda can be employed to automate various aspects of the incremental load process, such as checksum calculations and comparisons.Data Factory V2 was announced at Ignite 2017 and brought with it a host of new capabilities:.It is well-suited for scenarios where incremental changes must be replicated across different databases. AWS Database Migration Service: This service facilitates efficient data replication, including CDC capabilities.Its COPY command can be used with incremental loading techniques to ingest data seamlessly. Amazon Redshift: This data warehousing service offers sophisticated query optimization and scales to handle large datasets efficiently.It seamlessly integrates with various AWS data sources and targets, making it an ideal choice for managing incremental loads. AWS Glue: As a serverless ETL service, AWS Glue provides features like data extraction, transformation, and loading with automated schema discovery. AWS Glue provides transformation capabilities that can be employed to manage flag-based incremental loads effectively.Īmazon Web Services (AWS) offers a suite of powerful ETL services that complement these incremental load methods, ensuring streamlined data integration and transformation:
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