If you are considering moving to cloud-based data warehouse, you can avoid complexity by carefully considering two architectures:
- Data warehouses in the cloud, and
- Cloud-native data warehouses
What’s the difference:
Cloud based data warehouses are designed to handle large data volumes, often needing expert administrators to manage concurrency, real-time data streams and query optimization for better performance.
Cloud-native data warehouses are designed with public cloud architecture and constraints in mind, often leveraging serverless computing. The cloud-native data warehouse automatically manages concurrency, data growth, query performance, and core data operations. It’s an “auto-everything” approach.
Choosing the right strategy for moving data storage to the cloud:
To learn more about these differences, as well as data warehouse strategies, modernization and migration trends, a recent report by Transforming Data With Intelligence (TDWI) – sponsored by Google Cloud – is a good resource in helping choose the right data warehousing strategy for your organization.
The report examines the rise of cloud-based data warehouses, including associated opportunities, benefits and best practices. You’ll find strategic answers from Google Cloud experts to questions such as:
- What’s driving businesses to consider the cloud for their data warehousing strategy?
- What are the advantages of a cloud-native data warehouse?
- How can you coordinate data warehouse modernization with other modernization projects?
- What’s the first step in migrating your data warehouse to the cloud?
- How will cloud data warehousing affect your business’s security posture?
