Overview of AWS Data Modeling Data modeling in AWS involves designing the structure of your data to effectively store, manage, and analyze it within the Amazon Web Services (AWS) ecosystem. AWS provides various services and tools that can be used for data modeling, depending on your specific requirements and use cases. Here's an overview of key components and considerations in AWS data modeling AWS Data Engineer Training Understanding Data Requirements: Begin by understanding your data requirements, including the types of data you need to store, the volume of data, the frequency of data updates, and the anticipated usage patterns. Selecting the Right Data Storage Service: AWS offers a range of data storage services suitable for different data modeling needs, including: Amazon S3 (Simple Storage Service): A scalable object storage service ideal for storing large volumes of unstructured data such as documents, images, and logs. Amazon RDS (Relational Database Service):
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