{"id":4799,"date":"2020-04-19T18:33:24","date_gmt":"2020-04-19T18:33:24","guid":{"rendered":"https:\/\/www.testpreptraining.com\/tutorial\/?page_id=4799"},"modified":"2020-04-19T18:33:24","modified_gmt":"2020-04-19T18:33:24","slug":"cloud-dataflow-overview-google-professional-data-engineer-gcp","status":"publish","type":"page","link":"https:\/\/www.testpreptraining.ai\/tutorial\/cloud-dataflow-overview-google-professional-data-engineer-gcp\/","title":{"rendered":"Cloud Dataflow Overview Google Professional Data Engineer GCP"},"content":{"rendered":"<p>Google Cloud Dataflow is<\/p>\n<ul>\n<li>a managed data transformation service,<\/li>\n<li>has a unified data processing model to process both unbounded and bounded datasets.<\/li>\n<li>a serverless platform<\/li>\n<li>write code in the form of pipelines, and submit to CloudDataflow for execution.<\/li>\n<li>offers autoscaling workers and dynamically rebalancing workloads across those workers<\/li>\n<li>provides the open Apache Beam programming model as a managed service for<\/li>\n<li>process data in multiple ways as\n<ul>\n<li>batch operations<\/li>\n<li>extract-transform-load (ETL) patterns<\/li>\n<li>continuous, streaming computation.<\/li>\n<\/ul>\n<\/li>\n<li>pipelines operate on data in terms of collections, using the abstract PCollection .\n<ul>\n<li>Each PCollection is a distributed set of homogeneous data as in the pipeline<\/li>\n<li>can represent bounded data (CSV file in Cloud Storage) or unbounded data source, such (Cloud Pub\/Sub topic).<\/li>\n<li>PCollection is immutable.<\/li>\n<li>each element in PCollection has an associated timestamp either from data\u2019s source, or explicitly defined.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Google Cloud Dataflow is a managed data transformation service, has a unified data processing model to process both unbounded and bounded datasets. a serverless platform write code in the form of pipelines, and submit to CloudDataflow for execution. offers autoscaling workers and dynamically rebalancing workloads across those workers provides the open Apache Beam programming model&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[617],"tags":[692,693,619,623,622,618,621],"class_list":["post-4799","page","type-page","status-publish","hentry","category-google-gcp","tag-cloud-dataflow","tag-cloud-dataflow-overview","tag-data-engineer","tag-gcp","tag-google-certification","tag-google-cloud","tag-professional-data-engineer"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - 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