[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-07-09 UTC."],[[["Dataproc Serverless templates are open-source tools for running common Spark batch workloads without coding, though they are not officially supported Google products."],["These templates can be used to quickly set up and run common Spark batch workloads without needing to write code."],["Java, Python, and Jupyter notebook templates are available within the Dataproc-templates GitHub repository."],["Various data transfer templates are available, including options like Cloud Spanner to Cloud Storage, Cloud Storage to BigQuery, and JDBC to Cloud Storage."],["The templates are located within the GoogleCloudPlatform/dataproc-templates Github repository."]]],[]]