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Migrate and modernize your data warehouse with Google Cloud and Confluent
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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
