{"id":4895,"date":"2020-04-19T20:08:31","date_gmt":"2020-04-19T20:08:31","guid":{"rendered":"https:\/\/www.testpreptraining.com\/tutorial\/?page_id=4895"},"modified":"2020-04-19T20:23:08","modified_gmt":"2020-04-19T20:23:08","slug":"dataprep-overview-google-professional-data-engineer-gcp","status":"publish","type":"page","link":"https:\/\/www.testpreptraining.ai\/tutorial\/dataprep-overview-google-professional-data-engineer-gcp\/","title":{"rendered":"Dataprep Overview Google Professional Data Engineer GCP"},"content":{"rendered":"<ul>\n<li>an intelligent data service<\/li>\n<li>to visually explore, clean and prepare data that is not ready for immediate analysis.<\/li>\n<\/ul>\n<p><strong><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-4683 aligncenter\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/04\/Professional-Data-Engineer-Google-Cloud-image024-566x400.png\" alt=\"\" width=\"566\" height=\"400\" srcset=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/04\/Professional-Data-Engineer-Google-Cloud-image024-566x400.png 566w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/04\/Professional-Data-Engineer-Google-Cloud-image024.png 960w\" sizes=\"auto, (max-width: 566px) 100vw, 566px\" \/>Flow<\/strong><\/p>\n<ul>\n<li>a container for holding one or more datasets, associated recipes and other objects.<\/li>\n<li>is a means for packaging Cloud Dataprep objects for following actions\n<ul>\n<li>Creating relationships between datasets, their recipes, and other datasets.<\/li>\n<li>Sharing with other users<\/li>\n<li>Copying<\/li>\n<li>Execution of pre-configured jobs<\/li>\n<li>Creating references between recipes and external flows<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Imported Dataset<\/strong><\/p>\n<ul>\n<li>a reference to the original data<\/li>\n<li>the data does not exist within the platform.<\/li>\n<li>can be a reference to a file, multiple files, database table, or other type of data.<\/li>\n<li>is a pointer to a source of data.<\/li>\n<li>An imported dataset can be referenced in recipes.<\/li>\n<li>Imported datasets are created through the Import Data Page.<\/li>\n<\/ul>\n<p><strong>Recipe<\/strong><\/p>\n<ul>\n<li>a user-defined sequence of steps to transform a dataset.<\/li>\n<li>A recipe object is created from an imported dataset or another recipe.<\/li>\n<li>can create a recipe from a recipe to chain together recipes.<\/li>\n<li>Recipes are interpreted by Cloud Dataprep by TRIFACTA INC. and turned into commands that can be executed against data.<\/li>\n<li>When initially created, a recipe contains no steps.<\/li>\n<li>Recipes are augmented and modified using the various visual tools in the Transformer Page.<\/li>\n<\/ul>\n<p>In a flow, the following objects are associated with each recipe<\/p>\n<ul>\n<li>Outputs<\/li>\n<li>References<\/li>\n<\/ul>\n<p><strong>Outputs<\/strong><\/p>\n<p>Outputs<\/p>\n<ul>\n<li>contain one or more publishing destinations<\/li>\n<li>which define the output format, location, and other publishing options<\/li>\n<li>applied to the results generated from a job run on the recipe.<\/li>\n<\/ul>\n<p>References<\/p>\n<ul>\n<li>to create a reference to the output of the recipe&#8217;s steps in another dataset.<\/li>\n<li>When you select a recipe&#8217;s reference object, you can add it to another flow.<\/li>\n<li>A reference dataset is a read-only version of the output data generated from the execution of a recipe&#8217;s steps.<\/li>\n<\/ul>\n<p>Samples<\/p>\n<ul>\n<li>It is a subset of the entire dataset.<\/li>\n<li>For smaller datasets, the sample may be the entire dataset.<\/li>\n<li>As you build or modify recipe, the results of each modification are immediately reflected in the sampled data.<\/li>\n<li>Can generate additional samples<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Macros<\/p>\n<ul>\n<li>can create reusable sequences of steps that can be parameterized for use in other recipes.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Run Jobs<\/p>\n<p>A job may be composed of one or more of the following job types:<\/p>\n<ul>\n<li>Transform job: Executes the set of recipe steps that you have defined against sample(s), generating the transformed set of results across the entire dataset.<\/li>\n<li>Profile job: choose to generate a visual profile of the results of transform job.<\/li>\n<li>When a job completes, you can review the resulting data and identify data that still needs fixing.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>Schedules<\/strong><\/p>\n<ul>\n<li>Associate a schedule with a flow.<\/li>\n<li>schedule is a combination of one or more triggers and the outputs.<\/li>\n<li>A flow can have only one schedule associated with it.<\/li>\n<li>A trigger is a scheduled time of execution.<\/li>\n<li>A schedule can have multiple triggers associated with it.<\/li>\n<li>A recipe can have only one scheduled destination.<\/li>\n<li>Each recipe in a flow can have a scheduled destination.<\/li>\n<\/ul>\n<p><strong>Example<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-4684 aligncenter\" src=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/04\/Professional-Data-Engineer-Google-Cloud-image025-566x400.png\" alt=\"\" width=\"566\" height=\"400\" srcset=\"https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/04\/Professional-Data-Engineer-Google-Cloud-image025-566x400.png 566w, https:\/\/www.testpreptraining.ai\/tutorial\/wp-content\/uploads\/2020\/04\/Professional-Data-Engineer-Google-Cloud-image025.png 960w\" sizes=\"auto, (max-width: 566px) 100vw, 566px\" \/><\/p>\n<table>\n<thead>\n<tr>\n<td>Type<\/td>\n<td>Datasets<\/td>\n<td>Description<\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Standard job execution<\/td>\n<td>Recipe 1\/Job 1<\/td>\n<td>Results of the job are used to create a new imported dataset (I-Dataset 2).<\/td>\n<\/tr>\n<tr>\n<td>Create dataset from generated results<\/td>\n<td>Recipe 2\/Job 2<\/td>\n<td>Recipe 2 is created off of I-Dataset 2 and then modified. A job has been specified for it, but the results of the job are unused.<\/td>\n<\/tr>\n<tr>\n<td>Chaining datasets<\/td>\n<td>Recipe 3\/Job 3<\/td>\n<td>Recipe 3 is chained off of Recipe 2. The results of running jobs off of Recipe 2 include all of the upstream changes as specified in I-Dataset 1\/Recipe1 and I-Dataset 2\/Recipe 2.<\/td>\n<\/tr>\n<tr>\n<td>Reference dataset<\/td>\n<td>Recipe 4\/Job 4<\/td>\n<td>I-Dataset 4 is created as a reference off of Recipe 3. It can have its own recipe, job, destinations, and results.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Workflow<\/strong><\/p>\n<p>Basic Workflow<\/p>\n<ul>\n<li>Review object overview:<\/li>\n<li>Import data<\/li>\n<li>Profile data<\/li>\n<li>Build transform recipes<\/li>\n<li>Run job<\/li>\n<li>Export results<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>an intelligent data service to visually explore, clean and prepare data that is not ready for immediate analysis. Flow a container for holding one or more datasets, associated recipes and other objects. is a means for packaging Cloud Dataprep objects for following actions Creating relationships between datasets, their recipes, and other datasets. Sharing with other&#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":[619,737,738,623,622,618,621],"class_list":["post-4895","page","type-page","status-publish","hentry","category-google-gcp","tag-data-engineer","tag-dataprep","tag-dataprep-overview","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 Overview 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 Overview\" \/>\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-overview-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 Overview Google Professional Data Engineer GCP - 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