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1. Understand the features and benefits of a modern data architecture. Learn how AWS streaming services fit into a modern data architecture. 2. Design and implement a streaming data analytics solution 3. Identify and apply appropriate techniques, such as compression, sharding, and partitioning, to optimize data storage 4. Select and deploy appropriate options to ingest, transform, and store real-time and near real-time data 5. Choose the appropriate streams, clusters, topics, scaling approach, and network topology for a particular business use case 6. Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights 7. Secure streaming data at rest and in transit 8. Monitor analytics workloads to identify and remediate problems 9. Apply cost management best practices