{"id":9144736907538,"title":"BigQuery Update a Dataset Integration","handle":"bigquery-update-a-dataset-integration","description":"\u003ch2\u003eOverview of BigQuery Update a Dataset API Endpoint\u003c\/h2\u003e\n\u003cp\u003eThe BigQuery Update a Dataset API endpoint is a powerful interface provided by Google Cloud that allows developers to programmatically update the properties of a dataset within the BigQuery service. BigQuery is an enterprise data warehouse that excels at handling large-scale data analytics.\u003c\/p\u003e\n\n\u003ch2\u003eFunctionalities of the BigQuery Update a Dataset API Endpoint\u003c\/h2\u003e\n\u003cp\u003eThis API endpoint can be used to perform several update operations on a dataset. Specifically, you can modify aspects such as:\u003c\/p\u003e\n\n\u003cul\u003e\n \u003cli\u003eFriendly name and description\u003c\/li\u003e\n \u003cli\u003eDefault table expiration time\u003c\/li\u003e\n \u003cli\u003eDefault partition expiration for partitioned tables\u003c\/li\u003e\n \u003cli\u003eAccess controls, which define who can access or manage the data\u003c\/li\u003e\n \u003cli\u003eDataset labels for organizing and filtering\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eUse Cases and Problems Solved\u003c\/h2\u003e\n\u003cp\u003eThe BigQuery Update a Dataset API endpoint is particularly useful for maintaining and optimizing BigQuery environments. Here are some use cases and problems that can be solved using this API:\u003c\/p\u003e\n\n\u003ch3\u003eDataset Management at Scale\u003c\/h3\u003e\n\u003cp\u003eWhen managing numerous datasets, making changes to each one manually through the user interface can be highly time-consuming and prone to errors. With the API, updates can be scripted and automated, providing a more efficient and error-free way to manage datasets at scale\u003c\/p\u003e","published_at":"2024-03-13T01:24:39-05:00","created_at":"2024-03-13T01:24:40-05:00","vendor":"BigQuery","type":"Integration","tags":[],"price":0,"price_min":0,"price_max":0,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":48259900473618,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"BigQuery Update a Dataset Integration","public_title":null,"options":["Default Title"],"price":0,"weight":0,"compare_at_price":null,"inventory_management":null,"barcode":null,"requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/consultantsinabox.com\/cdn\/shop\/products\/1e5dac61be6d9577c2d015c2f29160e0_f4494529-aac7-4bb5-887d-bf1b8ba42176.png?v=1710311080"],"featured_image":"\/\/consultantsinabox.com\/cdn\/shop\/products\/1e5dac61be6d9577c2d015c2f29160e0_f4494529-aac7-4bb5-887d-bf1b8ba42176.png?v=1710311080","options":["Title"],"media":[{"alt":"BigQuery Logo","id":37928182808850,"position":1,"preview_image":{"aspect_ratio":2.977,"height":1760,"width":5240,"src":"\/\/consultantsinabox.com\/cdn\/shop\/products\/1e5dac61be6d9577c2d015c2f29160e0_f4494529-aac7-4bb5-887d-bf1b8ba42176.png?v=1710311080"},"aspect_ratio":2.977,"height":1760,"media_type":"image","src":"\/\/consultantsinabox.com\/cdn\/shop\/products\/1e5dac61be6d9577c2d015c2f29160e0_f4494529-aac7-4bb5-887d-bf1b8ba42176.png?v=1710311080","width":5240}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003ch2\u003eOverview of BigQuery Update a Dataset API Endpoint\u003c\/h2\u003e\n\u003cp\u003eThe BigQuery Update a Dataset API endpoint is a powerful interface provided by Google Cloud that allows developers to programmatically update the properties of a dataset within the BigQuery service. BigQuery is an enterprise data warehouse that excels at handling large-scale data analytics.\u003c\/p\u003e\n\n\u003ch2\u003eFunctionalities of the BigQuery Update a Dataset API Endpoint\u003c\/h2\u003e\n\u003cp\u003eThis API endpoint can be used to perform several update operations on a dataset. Specifically, you can modify aspects such as:\u003c\/p\u003e\n\n\u003cul\u003e\n \u003cli\u003eFriendly name and description\u003c\/li\u003e\n \u003cli\u003eDefault table expiration time\u003c\/li\u003e\n \u003cli\u003eDefault partition expiration for partitioned tables\u003c\/li\u003e\n \u003cli\u003eAccess controls, which define who can access or manage the data\u003c\/li\u003e\n \u003cli\u003eDataset labels for organizing and filtering\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eUse Cases and Problems Solved\u003c\/h2\u003e\n\u003cp\u003eThe BigQuery Update a Dataset API endpoint is particularly useful for maintaining and optimizing BigQuery environments. Here are some use cases and problems that can be solved using this API:\u003c\/p\u003e\n\n\u003ch3\u003eDataset Management at Scale\u003c\/h3\u003e\n\u003cp\u003eWhen managing numerous datasets, making changes to each one manually through the user interface can be highly time-consuming and prone to errors. With the API, updates can be scripted and automated, providing a more efficient and error-free way to manage datasets at scale\u003c\/p\u003e"}