Migrate and modernize your data warehouse with Google Cloud and Confluent

Available On-Demand

Migrating and modernizing your cloud data warehouse can be long and complicated, requiring multi-year efforts involving multiple teams and tools. There are a few main challenges that companies face with migration, such as high TCO associated with data pipelines, connecting hybrid and multicloud environments, and a long path to analytics-ready data. At Confluent, we’re taking a different approach.

Today, with Confluent, enterprises can stream data across hybrid and multicloud environments to Google Cloud’s BigQuery, powering real-time analysis while reducing total cost of ownership and time to value.

In this webinar, you’ll join experts from Confluent and Google Cloud to explore real-time data and warehousing.

We’ll discuss:

• Real-world use cases on how organizations are using Confluent Cloud and BigQuery to achieve their business goals
• How to stream data from Confluent to BigQuery via a connector for data queries, analytics, and dashboards
• How to containerize and run a data producer on Google Cloud which sends data to Kafka on Confluent Cloud
• How to perform queries on that data warehouse and stream process on Confluent