New flexibility: Run your Dataprep jobs with BigQuery or DataflowNew flexibility: Run your Dataprep jobs with BigQuery or DataflowDirector of Product Management, Data Analytics

In today’s data focused world, the modern equivalent to ETL (Extract, Transform, Load) is ELT (Extract, Load, Transform). The ELT framework enables data savvy business users to transform data rather than relying on IT teams to both transform and load data. With ELT, technical teams can handle the logistics of moving and managing data in BigQuery, while business users can leverage the power of SQL for intermediate transformations. This reduces cycles between the technical and business teams for finalizing data transformation requirements, and reduces the burden on the technical teams. Dataprep BigQuery pushdown complements the ELT framework helping data savvy business users and the technically focused IT teams with data transformation and data preparation tasks.

In summary, the new BigQuery pushdown on Dataprep enables faster data transformations, optimized costs, and increased flexibility. You can learn more about Dataprep BigQuery pushdown and get started today by trying Dataprep on the Google Cloud Marketplace.