AWS Summit ANZ 2021 - Data analytics architectural patterns and best practices
In this video, you'll learn about architectural principles to help you simplify data analytics using AWS services. If you'd like to learn more or get started on your custom solution, feel free to reach out to us today.
What are the key architectural principles for data analytics?
The key architectural principles for simplifying data analytics involve understanding the various stages of data processing. By applying these principles, you can effectively utilize AWS's wide portfolio of services to streamline your analytics efforts.
Where can I find reference architectures and best practices?
Yes, during the AWS Summit ANZ 2021, various reference architectures, design patterns, and best practices were discussed. These resources can help you implement effective data analytics solutions using AWS.
What is the significance of AWS in cloud computing?
AWS is recognized as a comprehensive cloud platform, offering over 200 fully featured services from data centers around the globe. It serves millions of customers, including startups, enterprises, and government agencies, helping them lower costs and enhance agility in their operations.
AWS Summit ANZ 2021 - Data analytics architectural patterns and best practices
published by Centrinel
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