[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-04-03。"],[[["Google offers open-source Dataflow templates for processing Bigtable data, eliminating the need to write custom pipeline code."],["Streaming templates are available for continuous data processing, including options like Bigtable change streams to BigQuery and Pub/Sub."],["Batch templates are provided for bulk data processing, facilitating data movement between Bigtable and various sources, such as Cloud Storage, BigQuery, and Apache Cassandra."],["Templates are also available to manage and route data to Vertex AI Vector Search, using both change streams, and files stored in Cloud Storage."]]],[]]