Google Cloud Dataproc, a managed Apache Hadoop and Apache Spark is henceforth generally available
Our ever-connected world is now at the core of the Big Data industry that is increasingly streamlined by awesome open source technologies like: Apache Hadoop and Apache Spark.
Google with its growing partner
ecosystem and
technology partners aims to offer streamlined experiences around these tools;
by helping you focus on what is important for you: data and actionable
insights.
Google Cloud Dataproc can inter alia be used in conjunction with Google Cloud Dataflow for real-time batch and stream processing. Create clusters using our Developers Console and Google Cloud SDK, without wasting time waiting for their cluster to be ready.
Google Cloud Dataproc can inter alia be used in conjunction with Google Cloud Dataflow for real-time batch and stream processing. Create clusters using our Developers Console and Google Cloud SDK, without wasting time waiting for their cluster to be ready.
You can use the Cloud Dataproc REST API with a programming language, such as Python, to programmatically interact with Cloud Dataproc without hassle.