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In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and governcustomerdata that address these challenges. Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers.
Use cases could include but are not limited to: workload analysis and replication, migrating or bursting to cloud, data warehouse optimization, and more. SECURITY AND GOVERNANCE LEADERSHIP. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customeranalytics in real-time .
Instead, they have separate data stores and inconsistent (if any) frameworks for datagovernance, management, and security. This leads to extra cost, effort, and risk to stitch together a sub-optimal platform for multi-disciplinary, cloud-based analytics applications.
Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs.
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