What do customers expect from a modern data architecture?

The adoption of Machine Learning (ML) and Deep Learning (DL) is a necessary step in an organization’s digital transformation journey. The insights gained from these applications enable businesses to improve their internal and external processes to maintain competitive advantage. To address ML and DL apps, organizations are procuring expensive hardware resources to handle the extensive processing power required by these workloads.

As organizations make these investments, it is becoming important that they consider the needs of business stakeholders in addition to the purely infrastructure-focused stakeholders. Read this white paper to learn how HDP 3.0 can help organizations along their digital transformation journey to:

    • Accelerate the deployment of applications
    • Enable faster time to insight to make more intelligent decisions
    • Run applications across both on-premises and the cloud, securely and with ease
    • Decrease total cost of ownership (TCO)

Keywords: Machine learning, deep learning, Hadoop 3, containerization, erasure coding, cloud

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