{"id":4914,"date":"2020-04-19T20:12:13","date_gmt":"2020-04-19T20:12:13","guid":{"rendered":"https:\/\/www.testpreptraining.com\/tutorial\/?page_id=4914"},"modified":"2020-04-19T20:18:39","modified_gmt":"2020-04-19T20:18:39","slug":"dataprep-google-professional-data-engineer-gcp","status":"publish","type":"page","link":"https:\/\/www.testpreptraining.ai\/tutorial\/dataprep-google-professional-data-engineer-gcp\/","title":{"rendered":"Dataprep Google Professional Data Engineer GCP"},"content":{"rendered":"<ul>\n<li>an intelligent cloud data service to visually explore, clean, and prepare data for analysis and machine learning.<\/li>\n<li>Use to explore and transform raw data from disparate and\/or large datasets into clean and structured data for further analysis and processing.<\/li>\n<li>Automatic Anomaly detection in schema, type, distributions and missing\/mismatched values.<\/li>\n<li>Performs Predictive transformation to interpret the data transformation intent of a user\u2019s data selection.<\/li>\n<li>Offers Rich transformations or hundreds of transformation functions<\/li>\n<li>Offers Parameterization if executing a recipe across multiple instances of identical datasets<\/li>\n<li>Has Collaboration for team environments<\/li>\n<li>Utilize columnar pattern matching to identify data patterns of interest<\/li>\n<li>Group values by similarities based on spelling or language-independent pronunciation.<\/li>\n<li>Offers visual representations to interpret large volumes of data.<\/li>\n<li>Automatically generate samples for performance optimization<\/li>\n<li>Enables to schedule recipes execution in flows on a recurring or as-needed basis.<\/li>\n<li>Recipes done using wrangler or automatic suggestions can be used<\/li>\n<li>Can define target schemas, through imported or created datasets, and assign to an existing recipe to systematize and speed up wrangling efforts.<\/li>\n<li>Supports common data types &#8211; structured or unstructured datasets in CSV, JSON, or relational table formats.<\/li>\n<li>Integrated with Google Cloud Platform<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>an intelligent cloud data service to visually explore, clean, and prepare data for analysis and machine learning. Use to explore and transform raw data from disparate and\/or large datasets into clean and structured data for further analysis and processing. Automatic Anomaly detection in schema, type, distributions and missing\/mismatched values. Performs Predictive transformation to interpret the&#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":[619,737,623,622,618,621],"class_list":["post-4914","page","type-page","status-publish","hentry","category-google-gcp","tag-data-engineer","tag-dataprep","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>Dataprep 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 Dataprep\" \/>\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\/dataprep-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=\"Dataprep Google Professional Data Engineer GCP - 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