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Success
Manage your Success Plans and Engagements, gain key insights into your implementation journey, and collaborate with your CSMsSuccessAccelerate your Purchase to Value engaging with Informatica Architects for Customer SuccessAll your Engagements at one place
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Knowledge Center
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Learn
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- Success Portal
- Learning Path
- Cloud Data Integration & Engineering
- CDW/DL Ecosystems
Key Highlights
- Faster and cost-efficient ingestion into Snowflake (Superpipe)
- Integrated native experience and power of IDMC within Snowflake
- Connectivity to various apps and databases
- Up to 3.5x performance-optimized and up to 40% reduction in Snowflake compute cost
Benefits
- Ease of Use - Single experience for users
- High-Performance Ingestion - Integration with the latest innovation for high-scale ingestion into Snowflake
- Lower TCO on Snowflake credits consumption
Refer to the images below for:
Superpipe: Snowpipe streaming integration with CMI
EDI: Streamlit-based native ingestion
Key Highlights
- Native Integration: Informatica CDI artifacts alongside Fabric BI/DW artifacts in the common Workspace
- Serverless Runtime: Ability to execute and monitor from within Fabric Workspace
- Connectors to One Lake: Synapse DW + Azure Data Lake
Benefits
- Ease of use: Frictionless onboarding and zero context switching in unlocking value
- Efficiency: Quick results with intuitive UI
- Optimized for Synapse/Power BI users and end-to-end analytics use cases
The Google BigQuery V2 Connector optimizes data integration in Informatica Data Cloud Management, enhancing performance and workflow efficiency through adjustable mapping parameters and system settings for seamless data interaction with Google BigQuery.
The Databricks Connector in Informatica Data Cloud Management enables efficient data processing and analytics, optimizing workflows and scalability for managing large datasets and complex computations in the cloud.
The Redshift Connector in Informatica Data Cloud Management enhances data warehousing and exchange with Amazon Redshift, streamlining data operations and analytics for improved query performance and insights in cloud environments.