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. Other features include Lakehouse support using Apache Iceberg open-source technology. Apache Iceberg enables upsert and time-travel queries against your data lake. Snowflake and Redshift support. If you need to move datasets directly into Redshift or Snowflake, this is automated with a simple JSON configuration. Dataset validation using data quality configuration rules and data deduplication capabilities. Data transformation. Associate Javascript with a dataset to perform your own powerful custom transformations. Infrastructure as code (IaC). The IData Pipeline can be spun up in an hour or less in your AWS account using our IAC code written entirely in Terraform. Structured, semi-structured, and unstructured data support. The Pipeline can consume and process basically unlimited types of data (csv, delimited, JSON, XML, PDF, images, video, etc). The Pipeline uses AWS Glue which automatically enables a large number of AWS services to consume datasets downstream.