• Amazon Redshift - A powerful data warehouse service for running complex queries on large datasets. Knowing how to manage clusters, perform load balancing, and set up query performance parameters is important.
Additionally, Amazon ElastiCache (for in-memory data caching) and Amazon DocumentDB (for document-based databases) should be in your grasp. By understanding when and how to leverage each of these services based on specific business needs, you demonstrate expertise in AWS’s database offerings.
2. Data Modeling and Database Design
To successfully handle cloud-based databases, you must have strong skills in database design and data modeling. This includes knowledge of normalizations, indexing, and how relational and non-relational databases differ in performance and storage methods. You'll need to understand the following:
• Normalization/Denormalization: Understanding the process of optimizing data structures for efficient storage and retrieval.
• Indexing: Indexing data properly to optimize query performance and minimize storage usage.
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