Build a query-ready lakehouse with Fivetran, Apache Iceberg and Google’s Cloud Storage
Speakers
Sponsored by
Webinar details
In this hands-on lab, we dove into how to quickly build a fully operational lakehouse architecture on Google Cloud, leveraging Fivetran’s Managed Data Lake Service and their Cloud Storage data lake. We showed how to seamlessly centralize structured and unstructured data from over 700 sources into Google's Cloud Storage (GCS) — and make it instantly queryable with Apache Iceberg, BigQuery Metastore, and Looker’s conversational analytics.
Build a query-ready lakehouse with Fivetran, Apache Iceberg and Google’s Cloud Storage
Speakers
Presented by
Webinar details
In this hands-on lab, we dove into how to quickly build a fully operational lakehouse architecture on Google Cloud, leveraging Fivetran’s Managed Data Lake Service and their Cloud Storage data lake. We showed how to seamlessly centralize structured and unstructured data from over 700 sources into Google's Cloud Storage (GCS) — and make it instantly queryable with Apache Iceberg, BigQuery Metastore, and Looker’s conversational analytics.
Build a query-ready lakehouse with Fivetran, Apache Iceberg and Google’s Cloud Storage
