Google has announced yet another new cloud technology within its Cloud Platform line, Google Cloud Dataproc. This new cloud technology is aimed at making Hadoop and Spark easier to deploy and manage within Google Cloud Platform. Much like the recent announcement from Dell and Cloudera, this technology allows the use of Hadoop without the high costs of training involved.
As datasets continue to grow in size and complexity more powerful tools will be needed to analyze these datasets. While the tools exist they often add another layer of complexity and can be costly to train administrators on new technologies or bring in consultants. Google is introducing Dataproc, an automatic and managed service for Hadoop and Spark. With Dataproc users can take advantage of open source data tools for batch processing, querying, streaming, and machine learning while using its automation to quickly create and manage clusters. Dataproc also allows clusters to be turned off when not in use helping save costs as billing is minute-by-minute.
Benefits include:
Availability and pricing
Google Cloud Dataproc is available now as a beta service as starts at $0.01 per virtual CPU.
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