A fully managed machine learning service provides developers and data scientists with the ability to build, train, and deploy machine learning (ML) models quickly. [Source: AWS]

, cloud-native data integration at any scale.

• Visual point-and-click interface enabling code-free

  Cloud deployment refers to the enablement of SaaS (software as a service), PaaS (platform as a service) or IaaS (infrastructure as a service) solutions that may be accessed on demand by end users or consumers. [Source: Atos]

  of ETL/ELT data pipelines
• Broad library of 150+ preconfigured connectors and transformations, at no additional cost
• Natively integrated best-in-class Google Cloud services
• End-to-end data lineage for root cause and impact analysis
• Built with an open source core (CDAP) for pipeline portability