ETL Azure Data Lake Storage data with Designer Cloud

No-code automation for your Azure Data Lake Storage data pipeline

Designer Cloud empowers everyone to easily build data engineering pipelines at scale. With a few simple clicks, automate your Azure Data Lake Storage data pipeline. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service Azure Data Lake Storage data pipeline in minutes not months.

Ensure quality data every time.

No matter how you need to combine and transform data stored in Azure Data Lake Storage, ensure that the end result is high-quality data, every time. Trifacta automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your Azure Data Lake Storage data pipelines with job scheduling so that the right data is in your Azure Data Lake Storage database when you need it. When new data lands in your Azure Data Lake Storage database, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.