{"id":4818,"date":"2020-04-19T18:52:45","date_gmt":"2020-04-19T18:52:45","guid":{"rendered":"https:\/\/www.testpreptraining.com\/tutorial\/?page_id=4818"},"modified":"2020-04-19T18:52:45","modified_gmt":"2020-04-19T18:52:45","slug":"best-practices-streaming-google-professional-data-engineer-gcp","status":"publish","type":"page","link":"https:\/\/www.testpreptraining.ai\/tutorial\/best-practices-streaming-google-professional-data-engineer-gcp\/","title":{"rendered":"Best Practices Streaming Google Professional Data Engineer GCP"},"content":{"rendered":"<ul>\n<li>Using composable transforms having business logic creates pipelines to easily maintain, troubleshoot and develop with.<\/li>\n<li>Ensure they have a clear owner<\/li>\n<li>Have a clear way to understand and document how changes to those transforms will affect all pipelines that use them.<\/li>\n<li>Always use the name field to assign a useful, at-a-glance name to the transform.<\/li>\n<li>Ensure that all transforms have versions and that all pipelines also have versions.<\/li>\n<li>Ensure you have a consistent policy to deal with errors and issues across all of transforms.<\/li>\n<li>End-to-end data pipeline testing should include lifecycle testing, particularly analyzing and testing all the different update\/drain\/cancel options.<\/li>\n<li>In addition to the standard metrics, build custom metrics into pipeline as per<\/li>\n<li>Create backups of pipelines<\/li>\n<li>Create multiple replica pipelines<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Using composable transforms having business logic creates pipelines to easily maintain, troubleshoot and develop with. Ensure they have a clear owner Have a clear way to understand and document how changes to those transforms will affect all pipelines that use them. Always use the name field to assign a useful, at-a-glance name to the transform&#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":[692,619,700,623,622,618,621],"class_list":["post-4818","page","type-page","status-publish","hentry","category-google-gcp","tag-cloud-dataflow","tag-data-engineer","tag-dataflow-best-practices","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 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Best Practices Streaming Google Professional Data Engineer GCP - Testprep Training Tutorials<\/title>\n<meta name=\"description\" content=\"Google Cloud Certified Professional Data Engineer Tutorial, dumps, brief notes on Best Practices Streaming\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.testpreptraining.ai\/tutorial\/best-practices-streaming-google-professional-data-engineer-gcp\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best Practices Streaming Google Professional Data Engineer GCP - 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