Webinar On-Demand
Embark on a journey of discovery as Fivetran and Alation experts unravel the significance of metadata innovations in the modern data stack. The advent of Fivetran's new metadata APIs, coupled with the power of the Alation data catalog, offers unprecedented visibility into the data journey from source to signal.
Key Highlights:
The transformative impact of metadata: Learn how metadata innovations are revolutionizing data-driven decision-making, building trust, and expediting data pipeline tasks.
Unveiling hidden metadata: Explore the previously concealed metadata that holds the key to enhancing data utilization for everyone in your organization.
Live demo: Witness the practical applications of metadata visibility in the modern data stack, featuring Fivetran, dbt, Snowflake, and Tableau, all seamlessly integrated on AWS.
Don't miss this enlightening Data Dialog, designed to empower you with the knowledge to deliver unparalleled visibility across your modern data stack. Watch now and embrace the future of data innovation!
Alation Brief
Most of us are familiar with Google Maps, which shows the path to our destination with specific and timely directions from start to finish. Layers provide additional information like points of interest and traffic details such as construction or traffic volume ahead of time, which can help change our route and save time. The user experience makes it easy for anyone to use.
Alation Brief
Learn how Alation Anywhere brings the power of data intelligence directly to your fingertips - right in your browser. Our integrations now extend beyond Excel, Teams, Slack, Tableau, and Google Sheets to include Chrome. With the Alation Anywhere Chrome Extension, you can search, preview, and trust critical data without leaving Chrome, enabling faster, more informed decisions across your organization and seamlessly fitting into your workflow.
Webinar On-Demand
In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.