Google Cloud Dataproc is a fully managed cloud service from Google Cloud that makes it easy to process, analyze, and visualize large data sets. It is based on Apache Hadoop, an open-source software framework for distributed storage and processing of large data sets, and includes a variety of open-source technologies for storing, processing, and analyzing big data, such as Apache Spark, a fast and flexible data processing engine for large-scale data processing, and Apache Hive, a data warehousing and SQL-like query language for Hadoop.

Google Cloud Dataproc can be used to analyze a wide range of data types, including structured, semi-structured, and unstructured data, and can be integrated with other Google Cloud services, such as Google Cloud Storage and BigQuery, to build end-to-end data pipelines and perform real-time data processing and analysis. Dataproc is designed to be easy to use and scalable, and can be run on a variety of hardware and software configurations, including Windows and Linux operating systems and on-premises or in the cloud. Google Cloud provides support, training, and consulting services for Dataproc, as well as a range of other products and services related to big data technologies.