Pipeliner

[Deprecated] Clara Parabricks Pipelines for genomic analysis

The IData Pipeline is a no-code AWS data pipeline. No coding required, just configure, ingest and consume. Using a simple JSON configuration for each dataset, you can inform the Pipeline what tasks should be performed upon a dataset. The Pipeline can perform deduplication of data, data quality checks, transformation with Javascript, transformation into S3 parquet in your data lake, transformation into Redshift or Snowflake and much more. When data lands in its final destination, automatic notifications are fired via SNS, enabling downstream systems and users to be notified immediately. The Pipeline also has a user-interface for real-time monitoring of data flows and automatic notifications to support teams when warnings or errors occur.

Launch your content to a global audience and ensure it resonates just as powerfully as it does in its original form. Meet with a Mission Cloud Generative AI expert to envision an AWS-native solution for Dubbing and Translation Pipelines that fits your needs and aligns with best practices.

Hevo is the trusted choice of over 2,500 data teams across over 40 countries to replicate data from all their sources into a cloud data warehouse. Using Hevo, you can set up a data pipeline in just 3 simple steps and replicate data in as little as 5 minutes. Moreover, Hevo's CDC (change data capture) feature ensures that any changes made to data sources are automatically updated in the warehouse. Hevo automates schema management; any changes in the source schema are automatically updated in the destination schema, eliminating the need for manual schema management. Hevo also includes built-in pre-load and post-load transformation capabilities. The pre-load transformation formats and cleans the data on the fly, while the post-load transformation allows you to run SQL-based transformations and dbt Core models in sync with your pipelines on the data warehouse.