CLOUD-DIGITAL-LEADER · Question #125
The customer has applications that do data processing on-premise. They have been built using Ha-doop and Spark. What product should I use on Google Cloud?
The correct answer is A. Dataproc. Dataproc is Google Cloud's fully managed service for running Apache Hadoop and Apache Spark workloads. It allows you to lift and shift existing Hadoop/Spark jobs to the cloud with minimal changes, making it the ideal migration path for on-premises data processing built on those…
Question
The customer has applications that do data processing on-premise. They have been built using Ha-doop and Spark. What product should I use on Google Cloud?
Options
- ADataproc
- BDataflow
- CDataprep
- DDataplex
How the community answered
(14 responses)- A93% (13)
- C7% (1)
Explanation
Dataproc is Google Cloud's fully managed service for running Apache Hadoop and Apache Spark workloads. It allows you to lift and shift existing Hadoop/Spark jobs to the cloud with minimal changes, making it the ideal migration path for on-premises data processing built on those frameworks. Dataflow (B) is based on Apache Beam and requires rewriting pipelines. Dataprep (C) is a visual data wrangling/preparation tool. Dataplex (D) is a data management and governance service. Since the customer already has Hadoop and Spark applications, Dataproc is the direct managed equivalent on Google Cloud.
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