[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-09-04 (世界標準時間)。"],[[["\u003cp\u003eGoogle offers open-source Dataflow templates for processing Bigtable data, eliminating the need to write custom pipeline code.\u003c/p\u003e\n"],["\u003cp\u003eStreaming templates are available for continuous data processing, including options like Bigtable change streams to BigQuery and Pub/Sub.\u003c/p\u003e\n"],["\u003cp\u003eBatch templates are provided for bulk data processing, facilitating data movement between Bigtable and various sources, such as Cloud Storage, BigQuery, and Apache Cassandra.\u003c/p\u003e\n"],["\u003cp\u003eTemplates are also available to manage and route data to Vertex AI Vector Search, using both change streams, and files stored in Cloud Storage.\u003c/p\u003e\n"]]],[],null,["Dataflow templates\n\nGoogle provides [open\nsource](https://github.com/GoogleCloudPlatform/DataflowTemplates)\nDataflow templates that you can use to process your Bigtable\ndata instead of writing pipeline code. This page lists the available\nBigtable - Dataflow templates.\n\nStreaming templates\n\nUse the following templates to process data continuously.\n\n- [Bigtable change streams to BigQuery](/dataflow/docs/guides/templates/provided/cloud-bigtable-change-streams-to-bigquery)\n- [Bigtable change streams to Pub/Sub](/dataflow/docs/guides/templates/provided/cloud-bigtable-change-streams-to-pubsub)\n\nBatch templates\n\nUse the following templates to process data in bulk.\n\n- [Apache Cassandra to Bigtable](/dataflow/docs/guides/templates/provided/cassandra-to-bigtable)\n- [Cloud Storage Avro to Bigtable](/dataflow/docs/guides/templates/provided/avro-to-bigtable)\n- [BigQuery to Bigtable](/dataflow/docs/guides/templates/provided/bigquery-to-bigtable)\n- [Bigtable to Cloud Storage Avro](/dataflow/docs/guides/templates/provided/bigtable-to-avro)\n- [Bigtable to Cloud Storage JSON](/dataflow/docs/guides/templates/provided/bigtable-to-json)\n- [Bigtable to Cloud Storage Parquet](/dataflow/docs/guides/templates/provided/bigtable-to-parquet)\n- [Bigtable to Cloud Storage SequenceFile](/dataflow/docs/guides/templates/provided/bigtable-to-sequencefile)\n- [Bigtable change streams to Vertex AI Vector Search](/dataflow/docs/guides/templates/provided/bigtable-change-streams-to-vector-search)\n- [Bigtable to Vertex AI Vector Search files on Cloud Storage](/dataflow/docs/guides/templates/provided/bigtable-to-vector-embeddings)\n- [Cloud Storage Parquet to Bigtable](/dataflow/docs/guides/templates/provided/parquet-to-bigtable)\n- [Cloud Storage SequenceFile to Bigtable](/dataflow/docs/guides/templates/provided/sequencefile-to-bigtable)\n\nWhat's next\n\n- [View the complete list of Google-provided templates.](/dataflow/docs/guides/templates/provided-templates)\n\n- [Learn more about change streams.](/bigtable/docs/change-streams-overview)\n\n- [Follow a tutorial on Bigtable to Vertex AI\n Vector Search\n Export.](https://github.com/GoogleCloudPlatform/workflows-demos/tree/master/bigtable-ai/vertex-vector-search/workflows#readme)\n\n- [Use Apache Beam and Bigtable to enrich\n data](/dataflow/docs/notebooks/bigtable_enrichment_transform)."]]
