- GenAI Blueprint for Azure OpenAI Service – Accelerates development and deployment of enterprise-grade GenAI and copilot experiences with reference architectures and templates using Informatica’s Intelligent Data Management Cloud (IDMC) platform and Azure OpenAI Service.
- Enhanced SQL ELT for Microsoft Azure – Enables no-code data pipeline definition and execution with in-database SQL-based processing for increased performance and scale.
- Open Table Iceberg Support for ADLS Gen2 – Supports data migration and integration to Azure Data Lake Storage (ADLS) Gen2 in Iceberg format, unlocking price-to-performance benefits of Iceberg in storing and accessing large-scale data sets for AI.
Blueprint for Azure OpenAI Service
- Seamless integration with Azure OpenAI Service, Azure AI Search and vector databases like Pinecone on Azure, enables organisations to fast-track AI initiatives while maintaining data integrity and governance.
- An industry-leading Master Data Management (MDM) solution is central to these new capabilities, enriching GenAI applications with trusted enterprise data.
- Contextualised prompts and responses based on standardised business glossary terms, while embedded data quality controls optimise RAG dataset selection
IDMC supports Enhanced SQL ELT on Microsoft Fabric Datawarehouse Informatica is the first ISV to offer ELT for Microsoft Fabric datawarehouse. As a Microsoft design partner, this new offering enables organisations to consolidate and transform data directly within Microsoft Fabric’s datawarehouse environment, offering customers the flexibility of no-code data pipelines to prepare and cleanse their data for analytics.
The SQL ELT support also allows customers to efficiently validate data and enhance analytics through the power of Microsoft Fabric, including driving data governance, processing quality checks to ensure data accuracy and compliance, and quickly deriving insights using Power BI. SQL ELT on Microsoft Fabric allows Microsoft Fabric customers to consolidate data from multiple sources, validate and clean the data and finally implement enhanced analytics on the clean data within Microsoft Fabric. This results in a secure solution that efficiently uses Microsoft Fabric’s compute resources.
Open Table Iceberg Support for ADLS Gen2
Informatica lets customers integrate enterprise data into the Iceberg Open Table format, enabling them to reduce data storage costs and select the appropriate query engines for their use cases and price-performance objectives. Supporting Apache Iceberg open table format on Azure further extends its data integration capabilities across Azure Data Lake Storage Gen2
This enhancement makes Informatica one of the first vendors to offer comprehensive open table format support across Azure’s ecosystem. It addresses customer demand for more choices in how to store and manage data for Analytics and AI within the Azure ecosystem.
Pratik Parekh, Senior Vice President and General Manager at Informatica said, “These new blueprints and data management innovations are built specifically for Microsoft services to ensure Microsoft customers adopting Microsoft Azure Open AI Service, Microsoft Fabric and open table format support in Azure benefit from the full range of IDMC data management capabilities to accelerate and scale their AI and analytics initiatives,”
“Our collaboration with Informatica continues to redefine how businesses are using Microsoft Azure OpenAI Service,” said Asha Sharma, Corporate Vice President and Head of Product for Microsoft’s AI platform. “Informatica’s powerful blueprint is enabling customer adoption of Azure OpenAI Service solutions, and its Open Table Iceberg support is fueling new AI solutions by bringing more data into Azure.”
