Key benefits

Modern data streaming analytics architecture on AWS provides the following key benefits:

• Organizations can build scalable modern data streaming architectures on AWS that can handle explosive data growth and velocity.
• A comprehensive set of integrated tools enables every user equally.
• The modern data architecture enables better business agility. It analyzes data and helps organizations gain insights as events happen in real time. By using purpose-built analytics services in a modern data architecture approach, data consumers can create business value by experimenting fast and responding to changes quickly.
• Because a modern data architecture provides a ring of purpose-built data services, organizations have the flexibility to choose the right services for the right use cases.
• All personas are empowered to use the best-fit analytics services.
• You can build seamless low latency analytics architectures for near real-time personalization to tailor the customer experience.
• Simplified streaming ingestion and cleaning enables data engineers to build streaming applications faster.
• You can take advantage of unified low latency streaming analytics across operational databases, data warehouse, and data lake.
• The modern data architecture enables unified governance, which provides a secure, compliant, and auditable environment for data analytics workloads.
• Centralized management of fine-grained permissions empowers security officers.
• The modern data architecture provides the required durability, availability, and scalability for various data analytics workloads. It can help you process exabytes of data stored within your data lakes and deploy models on ML services to serve hundreds of billions of inference requests.

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