In a recent post on its official engineering blog, Uber, disclosed its strategy to migrate the batch data analytics and machine learning (ML) training stack to Google Cloud Platform (GCP). Uber, runs one of the largest Hadoop installations in the world, managing over an exabyte of data across tens of thousands of servers in each of its two regions. The open-source data ecosystem, particularly Hadoop, has been the cornerstone of the data platform. The strategic migration plan consists of two steps: Initial migration and leveraging Cloud-Native Services. Uber’s initial strategy involves leveraging GCP’s object store for data lake storage while migrating the rest of their data stack to GCP’s
Hence then, the article about uber s journey to modernizing big data infrastructure with google cloud platform was published today ( ) and is available oncanadian news today ( Middle East ) The editorial team at PressBee has edited and verified it, and it may have been modified, fully republished, or quoted. You can read and follow the updates of this news or article from its original source.
Read More Details Finally We wish PressBee provided you with enough information of ( Uber’s Journey to Modernizing Big Data Infrastructure with Google Cloud Platform )