The world of analytics and data science touches multiple disciplines in IT and business:
The data scientist needs the flexibility to use their tools and libraries of choice.
The data engineer needs to know how the data flows and where it resides.
A DevOps engineer needs the tools to integrate new AI and ML applications into their CI and CD pipelines.
Cloud administrators and architects must be able to set up and manage hybrid cloud resources.
Business users want to have access to analytics, AI, ML, and DL applications.
In this technical report, we describe how NetApp AFF, E-Series, StorageGRID, NFS direct access, Apache Spark, Horovod, and Keras help each of these roles bring value to business.