Fivetran Managed Data Lake Service and Google's Cloud Storage power a modern data lake
Build an interoperable data architecture for analytics and AI using Fivetran Managed Data Lake Service and Google’s Cloud Storage.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Data lakes vs. data warehouses: A cost comparison by GigaOm
Adopting a data lake in combination with the Fivetran Managed Data Lake Service reduces data ingest compute costs by 77% to 95% over traditional data warehouses.
How 3 enterprises use Fivetran to elevate customer experience
Saks, Canva, and Condé Nast centralize data with Fivetran to create elevated customer experiences, paving the way for personalized online retail and media.
Fivetran Connector SDK setup and demo
Watch a quick demo of the Fivetran Connector SDK to better understand how to build and deploy custom data pipelines within the Fivetran platform using Python. Easily replicate from niche sources, internal APIs, and custom filtering logic into your destination of choice with the Fivetran Connector SDK.
Unlock interoperability with Fivetran Managed Data Lake Service for Google's Cloud Storage
Load standardized, compliant data in open table formats from 700+ sources directly into Google’s Cloud Storage to reduce compute costs and increase efficiency.
Open table formats, catalogs, automated data integration, and the future of data lakes
How have data lakes evolved over time, and what do open table formats and catalogs mean for the future of data lakes? In this roundtable discussion, George Fraser, CEO and co-founder of Fivetran, and Dan Lynn, VP of Product for Databases and Destinations, share their thoughts with host Niamh O’Brien about the future of data lakes and how Fivetran is preparing for it. Key highlights;
The importance of open table formats for modern data lakes
Open table formats offer enterprises the capabilities of data warehouses and the flexibility of data lakes.
Fivetran and Google Cloud solve data integration for AI
Centralized data allows data teams to dedicate their effort to last-mile analytics and AI challenges.
A modern data lake with Fivetran Managed Data Lake Service and Databricks Unity Catalog
Fivetran’s native integration with Unity Catalog streamlines governance and compliance for data lakes.
Breaking down enterprise data silos with Moin Haque
How do enterprise leaders navigate fractured data landscapes and integrate AI into business strategies? On this episode of The Fivetran Data Podcast, Moin Haque, Head of Enterprise Data, Analytics & AI at International Flavors and Fragrances Inc. (IFF), shares actionable insights into data federation and innovation with host Kelly Kohlleffel. Key highlights.