ETL PIPELINES Create ETL and ELT pipelines then schedule them! Dynamic SQL Create dynamic SQL queries beyond what is possible with the console Manipulate multiple tables in one Statement Manipulate tables across datasets No lock in All of your transforms are written in Athena SQL (AWS) or BigQuery Standard SQL (GCP) No proprietary language or tools to learn Recent Posts BigQuery row-level security fail How to authorize BigQuery views across projects using the Java Client Library Free editions How to stream into Google BigQuery from an Amazon Athena query How to add data to missing partitions using an Athena Query Copying S3 data underlying an Athena table Multiple Partitioning columns with Athena Batch Partitioning Insert Job v2 Deleting S3 data Multiple Partitioning columns with Athena Batch Partitioning Insert Job S3 and Athena example Release Notes How to import and export your pipeline jobs between instances Why AWS and Google Cloud are not just for the “big boys” Why rockstarETL? Why VM’s are a better choice than SAAS Using the Athena Batch Partition Insert Job Type How to Update Athena tables Help! My pipeline won’t run! How jobs are run S3 Delete Objects