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By Lisa Maccagno
Explore the evolving challenges of data security and how modern strategies, like Fivetran’s Hybrid Deployment, enable businesses to scale securely and efficiently.
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By Fivetran
Discover the strengths of PostgreSQL and MySQL. Compare features, performance, and use cases to find the best database for your next project.
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By Taylor Brown
Automation and hybrid deployment complement each other to provide the utmost security in data integration.
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By Shuchi Agrawal
Data integration powers AI, but AI can power data integration, too. Tech Mahindra shows how.
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By Charles Wang
How the world of generative AI has changed and what new innovations and capabilities mean for you.
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By Kendra Leverette
How technical and business data catalogs work together to make data legible and actionable for everyone.
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By Lisa Maccagno
This expert panel discussed how businesses can prepare for challenges and opportunities with AI, powering smarter models and personalized experiences.
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By Fivetran
Discover how to build a powerful Retrieval Augmented Generation (RAG) application that that changes the way you explore California’s wine country. Using the latest technologies from Fivetran and Google Cloud, this tutorial will guide you through the creation of a Gen AI-powered travel assistant that integrates structured data with advanced Gen AI capabilities.
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By Fivetran
Fivetran’s Chief Operating Officer Taylor Brown and Chief Product Officer Anjan Kundavaram share their insights on the rapidly changing data landscape and the role of Fivetran’s Hybrid Deployment in addressing today’s security and scalability challenges. They also explore key trends in data management and share predictions for AI and data strategy in 2025.
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By Fivetran
Paul Meighan, Director of Product Management at AWS, shares how enterprises are increasingly looking for ways to integrate more data sources in their environment — especially with data lakes. From turning S3 buckets into databases to establishing better metadata layers, Meighan explores the rapid evolution of data lakes alongside data warehouses. He also explains the pivotal role AI, ML and GenAI workloads and applications will play in large metadata environments, driving innovative analytics and business insights.
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By Fivetran
Securely move all of your data from one platform with Fivetran's new Hybrid deployment option. Move security-restricted data with pipelines hosted in your own environment, controlled by Fivetran's easy-to-use control plane.
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By Fivetran
Learn how to set up your Fivetran PostgreSQL Native Application in Snowflake. In this demo video, we'll guide you through the simple steps to connect your PostgreSQL database to Snowflake, ensuring fast, secure, and reliable data movement.
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By Fivetran
George Fraser, CEO of Fivetran, Bob Muglia, former CEO of Snowflake, and Steve Jones, EVP of Capgemini discuss the challenges and solutions to creating mature, production-ready generative AI models. It’s not just about algorithms or data — success lies in effective data management.
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By Fivetran
How to accelerate and automate data movement for SAP ERP into the Snowflake Data Cloud with Fivetran.
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By Fivetran
George Fraser, CEO of Fivetran, and Justin Borgman, CEO of Starburst, dive into the competitive landscape and evolution of modern query engines and data lakes. Discover how Starburst’s Trino engine and open table formats like Iceberg drive agile, scalable data solutions for AI innovation while enabling governance and other capabilities normally associated with data warehouses.
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Fivetran fully automated connectors sync data from cloud applications, databases, event logs and more into your data warehouse. Our integrations are built for analysts who need data centralized but don’t want to spend time maintaining their own pipelines or ETL systems.
Focus on analytics, not engineering. Our prebuilt connectors deliver analysis-ready schemas and adapt to source changes automatically.
Keep your team focused on analysis:
- Prebuilt connectors: Centralize your operational data in minutes with 150+ zero-configuration connectors.
- Ready-to-query schemas: Use thoughtful, research-driven schemas and ERDs for all your sources.
- Automated schema migrations: Save resources with connectors that automatically adapt to schema and API changes.
- Fully managed data integration: Reduce technical debt with scalable connectors managed from source to destination.
- SQL-based transformations: Model your business logic in any destination using SQL, the industry standard.
- Incremental batch updates: Change data capture delivers incremental updates for all your sources.
Simple, reliable data integration for analytics teams.