Informatica, an enterprise cloud data management provider, introduces at the Informatica World event the innovations for Snowflake Data Cloud, Native SQL ELT. This innovation delivers improved performance for data pipeline workloads and enables access to more than 250 native Snowflake functions. It also provides a Blueprint for enterprise-grade generative AI application development for Snowflake Cortex AI. Which is based on a foundation of rich metadata, no-code orchestration and trusted data.
What is Native SQL ELT for Snowflake?
Native SQL ELT for Snowflake leverages the scalability and computational power of the Snowflake Data Cloud, enabling customers to develop efficient ELT pipelines that run directly on Snowflake compute resources for enhanced performance. With an intuitive interface, it supports over 250 Snowflake-specific functions and seamlessly integrates new Snowflake commands as they are released, all within the Intelligent Data Management Cloud™ (IDMC) platform. Native SQL ELT is now generally available.
Also Read: Informatica Announces Innovations to Revolutionize Data Management for AI
Blueprint for Enterprise-Grade Generative AI Applications
This blueprint gives customers a template architecture for creating generative AI applications and enterprise metadata in context, underpinned by high-quality, trusted data and scaled through no-code development and orchestration. The blueprint brings Snowflake’s generative AI service, Cortex AI, and key IDMC services: Cloud Data Integration, Cloud Data Quality, Cloud Data Cataloging and Governance, Cloud Data Access Management, Master Data Management, and Cloud Application Integration. The combination yields a retrieval-augmented generation (RAG) solution that grounds generative AI applications with trusted data and metadata while ensuring appropriate controls over data access.
“For more than nineyears, our partnership with Snowflake has allowed us to reduce the digital barriers that make our leading data management solutions more accessible to hundreds of joint enterprise customers. From ingestion, integration and governance to now providing greater context and accuracy for the latest generative AI use cases, our partnership and collective mindshare continue to reset the bar of what’s possible. Trusted data isn’t just a valuable organizational asset – it’s an invaluable advantage.” – said Rik Tamm-Daniels, Group Vice President of Strategic Ecosystems and Alliances at Informatica.
Conclusion
Apart from the innovations announced by Informatica at the Informatica World event for Snowflake, the company also announced four new product capabilities with Snowflake integration at Snowflake Summit 2023. The products include Informatica Superpipe, Enterprise Data Integrator Private Preview, Cloud Data Integration-Free and support for Apache Iceberg on Snowflake.
FAQs
1. What is Snowflake Cortex AI?
Snowflake Cortext for Generative AI quickly analyzes text and builds AI applications with fully managed industry-leading AI models, large language models and vector search. It is powerful, easy to use, and cost-effective. In addition, it helps improve productivity with a breakthrough AI-powered SQL assistant that redefines queries through conversation.
2. What is SQL ELT optimization?
SQL ELT optimization analyzes the mapping from source to target. Until it reaches transformation logic, it cannot push to the target database. The task generates and executes SQL statements against the source or target based on the transformation logic it can push to the database.
3. How does the Informatica-Snowflake partnership enhance data management solutions?
The partnership enhances data management solutions by integrating Informatica’s advanced capabilities with Snowflake’s robust data cloud infrastructure. This collaboration enables better data ingestion, integration, governance, and the development of generative AI applications, ultimately providing greater context and accuracy for data use cases.
4. What are the benefits of the Informatica and Snowflake partnership for enterprise customers?
The partnership provides simplified data management experiences, improved performance, and enhanced data integration, governance, and generative AI application development capabilities, leading to more accurate and actionable insights.
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