Remove Customer Analytics Remove Data Governance Remove Optimization Remove Risk
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Announcing the 2021 Data Impact Awards

Cloudera

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. SECURITY AND GOVERNANCE LEADERSHIP. HYBRID & MULTI-CLOUD INNOVATION. PEOPLE FIRST.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

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 govern customer data that address these challenges. Enrichment typically involves adding demographic, behavioral, and geolocation data.

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Altus SDX: Shared services for cloud-based analytics

Cloudera

Instead, they have separate data stores and inconsistent (if any) frameworks for data governance, 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. Risk and effort are greatly reduced.