Due to the complexity, high cost of operations, and unscalable infrastructure, on-premises Hadoop platforms have often not delivered on their initial promises to impact business value.
Hadoop 3.0 is a major upgrade to the Hadoop stack enabling developers to build deep learning systems and business applications on top of very large datasets using the most modern compute infrastructure available in the cloud.