{"id":31573,"date":"2022-12-12T16:39:16","date_gmt":"2022-12-12T16:39:16","guid":{"rendered":"https:\/\/brandignitybeta.com\/demo\/brandlatest\/2022\/12\/12\/google-ads-data-to-bigquery-using-data-transfer-service\/"},"modified":"2022-12-12T16:39:16","modified_gmt":"2022-12-12T16:39:16","slug":"google-ads-data-to-bigquery-using-data-transfer-service","status":"publish","type":"post","link":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/","title":{"rendered":"Google Ads data to BigQuery using Data Transfer Service"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-24435\" src=\"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-content\/uploads\/2022\/12\/Google-Ads-to-BigQuery.jpg\" alt=\"Google-Ads-to-BigQuery\" width=\"850\" height=\"567\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">What is the reason for uploading information to a single storage unit? Google BigQuery is used to generate reports from raw data, an honest assessment of effective marketing performance.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Google BigQuery will provide the opportunity to analyze terabytes of data just in seconds.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Google Ads is one of the best platforms that are widely used to place Google Ads in Google BigQuery. Many companies, regardless of turnover, promote their services and products by creating online advertisements in Google Ads.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Google Ads produces a huge amount of data every day. In this article, we\u2019ll talk about transferring data from <\/span><a href=\"https:\/\/renta.im\/etl\/google-ads-bigquery\/\"><span style=\"font-weight: 400;\">Google Ads to Google BigQuery<\/span><\/a><span style=\"font-weight: 400;\"> to prepare user reports for analysis.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Connecting Google Ads data to BigQuery \u2013 reasons for action<\/b><\/h2>\n<hr \/>\n<p><span style=\"font-weight: 400;\">To promote a personal business through Google Ads, you need to allocate a certain amount of money. The costs of the budget should be detailed as much as possible. A detailed analysis should be completed to optimize costs. Unlimited capabilities will be necessary to store, and process voluminous data. It\u2019s a Google BigQuery cloud-based <\/span><b>data warehouse <\/b><span style=\"font-weight: 400;\">that will help with it.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p>Its storage capacity is unlimited; voluminous data is processed at high speed. With its extensive functionality,\u00a0<a href=\"https:\/\/hevodata.com\/learn\/8-best-cloud-etl-tools\/\" target=\"_blank\" rel=\"noopener\">ETL<\/a>\u00a0allows customers to download and store data quickly, and refer to them by SQL queries. The obtained results can be saved or uploaded.<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The main options of Google BigQuery include:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">managing data;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">creating queries;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">providing access control;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">machine learning;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">integration opportunities.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">By analyzing marketing data, the user can understand which actions are performed effectively and which ads do not bring positive results. Consequently, the budget will be wisely spent and saved.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Marketing data analysis will allow you to see the range of interests of the company&#8217;s potential customers and plan future business decisions.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Solution 1: Transferring Google Ads data to BigQuery<\/b><\/h2>\n<hr \/>\n<p><span style=\"font-weight: 400;\">To export information, you need to use the official BigQuery data pipelines. This option allows you to transfer important Google Ads information to BigQuery automatically, keeping them up to date.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Before you start the action, it is recommended to make sure that you have administrator rights, access to the corresponding Google Ads account or the manager account.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The following steps should be taken to configure the right:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">go to the Google Cloud platform;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">open the BigQuery console;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">select &#8220;Transfers in the left panel&#8221;;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click on &#8220;Create transfer&#8221;;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">press in the &#8220;Source Type&#8221; field;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">select Google Ads (previously AdWords);<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">choose a distinctive name for the transfer;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">schedule a transfer (to do this, select the frequency, start time of the transfer) \u2013 every day;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">create\/select your dataset to generate a table;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">designate the identifier of the Google Ads account client (123-123-1234 or other);<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">add a configurable update window (from 0 to 30), the default setting is 7 days;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">turn on email notifications;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click &#8220;Save.&#8221;<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">By applying this function, the user will be able to create a set of tables, reports with all the necessary information. Updating the data will help to avoid the double entry of information into DWH.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Solution 2: Exporting Google Ads reports to BigQuery<\/b><\/h2>\n<hr \/>\n<p><span style=\"font-weight: 400;\">Using CSV files is the surest and easiest way to load BigQuery data. In BigQuery, It is possible to query data, process them and export\u00a0<a href=\"https:\/\/hevodata.com\/blog\/google-ads-to-bigquery-data-transfer\/\" target=\"_blank\" rel=\"noopener\">Google Ads to BigQuery<\/a>\u00a0using custom JavaScript code. How do you set up the report, what does the code and request for the business performance report look like? Let\u2019s take a look at it below:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">open Google Ads;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">go to the desired report;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click on &#8220;Load&#8221; at the top of the report;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">choose the CSV format.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The report is then uploaded. After that, you have to add the report to Google BigQuery. This is not difficult, just perform the following steps:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">open the Google BigQuery console;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">select data for the new report table;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click on &#8220;Create table&#8221; in the &#8220;Data set&#8221; menu;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">press &#8220;Load&#8221; as the source of the table, your file and in CSV format;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">select data set, table name for the loaded report;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">find the &#8220;Autodetect&#8221; section;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">mark &#8220;Scheme and input parameters&#8221;;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click &#8220;Create table&#8221;.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">You made it! Uploading the report to BigQuery was successful. Next, you can move on to analysis.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Solution 3: Send data using Google Ads script<\/b><\/h2>\n<hr \/>\n<p><span style=\"font-weight: 400;\">The data transfer feature allows users to easily and quickly export their data to Google BigQuery. However, in some cases, the client does not need all the reports, actions with the data before uploading, but only some of them. We suggest using Google Ads scripts. If you have a minimal understanding of programming, this option is ideal for you.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">It is possible to query data, process them and export Google Ads to BigQuery using custom JavaScript code. How do you set up the report, what does the code and request for the business performance report look like? Let&#8217;s take a look at it below:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">open Google Ads;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">select the account you are interested in;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click &#8220;Tools&#8221; on the top panel;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">choose &#8220;Scripts&#8221; in the &#8220;Mass Actions&#8221; category;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click on the + sign;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">create a new script;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">name the script (Google Ads to BigQuery or other);<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click on &#8220;Extended APIs&#8221;;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">enable BigQuery;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click &#8220;Save&#8221;.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">By setting up Google Ads scripts, the user can directly connect Google Ads reports to BigQuery. Access to Google Ads reports, their management, and their uploading to Google BigQuery is given after writing your own scripts.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The official documentation provides information related to the Google Ads script. The user can independently create his scripts, and upload necessary information to the Google cloud.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Additional Functionality<\/b><\/h2>\n<hr \/>\n<p><span style=\"font-weight: 400;\">This article presents three effective methods of importing data into BigQuery. Now, a nice bonus is another additional <\/span><b>data transfer tool<\/b><span style=\"font-weight: 400;\">. It is based on Google Ads add-in for Google Sheets and Renta Marketing ETL, which is a third-party application for importing data. There are simple steps to follow:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">request data from Google Ads to Google Sheets;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">synchronize Google Sheets with BigQuery using Renta Marketing ETL;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">install Google Ads add-ons for Google Sheets;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">request the necessary data from the Google Ads account;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click &#8220;Save&#8221;;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">regular updating of this data in Google Sheets.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The setup is simple. You can do it in the following way. It is necessary to visit the Google Ads add-in page in the Google Workspace Marketplace, and then, click the &#8220;Install&#8221; button. In the realm of API architectural styles, choosing between <a href=\"https:\/\/wezom.com\/blog\/comparing-api-architectural-styles-soap-vs-rest-vs-graphql-vs-rpc\" target=\"_blank\" rel=\"noopener\">REST, SOAP, and GraphQL<\/a> depends on the specific needs of your project, with REST offering simplicity and scalability, SOAP providing standardization and security, and GraphQL delivering flexibility and efficiency in data retrieval.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">You should provide the necessary permissions. And you can use the add-in in the &#8220;Extensions&#8221; tab of any Google Sheets spreadsheet.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">To extract the data, you should click &#8220;Create Report&#8221; and make the settings:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Account. It is used as a source of information.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Date range. It is used to query the data (the default is the last 7 days).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Report type. It is filled in to speed up the query (campaign report, keyword report).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Name of the report. You can create it on your own.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Columns. The columns that should be included in the report are marked.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Filters. Any filters that will be needed in the report are used.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Scheduled reports. You can set a daily, weekly or monthly report update.<\/span><\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">After performing the simple steps, you can create the necessary report and add your own configurations.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Synchronizing Google Sheets with BigQuery using Renta Marketing ETL<\/b><\/h2>\n<hr \/>\n<p><span style=\"font-weight: 400;\">How do you load data directly into BigQuery using Renta Marketing ETL? Let&#8217;s take a look at it.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/renta.im\/etl\/\"><span style=\"font-weight: 400;\">Renta Marketing ETL<\/span><\/a><span style=\"font-weight: 400;\"> is a multi-service data integration tool that enables automatic synchronization between cloud services for reporting, management and data collection.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Data is downloaded from Google Sheets, since Renta Marketing ETL does not support Google Ads as a source.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Using your Google account, pass the registration on Renta Marketing ETL. Then, click on &#8220;Add new importer&#8221;, give it a name.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Next, you should follow three steps:<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Source:<\/strong><\/h3>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">connect your Google account to Google Spreadsheets;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">select the spreadsheet, the sheet with the imported information from Google Ads;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">specify a range in the selected worksheets;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">click &#8220;Go to Destination Parameters&#8221;.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><strong>Destinations:<\/strong><\/h3>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">select BigQuery as the target application;<\/span><\/li>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">connect your BigQuery account;<\/span><\/li>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">enter the name of the BigQuery dataset and the table where Google Ads data from Google Sheets will be loaded;<\/span><\/li>\n<li aria-level=\"1\"><span style=\"font-weight: 400;\">change the import mode and add a column with the date and time of the last data update (optional).\u00a0<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><strong>Schedule:<\/strong><\/h3>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">To automatically export Google Ads data from Google Sheets into BigQuery, the user needs to set up a schedule.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Note. We recommend that you synchronize your schedule to export data from Google Ads to Google Sheets and from Google Sheets to BigQuery. Ideally, the user should have at least one hour of time buffer between them.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">After clicking on the &#8220;Save&#8221; and &#8220;Run&#8221; buttons, you will see your Google Ads entries in BigQuery with the option to stop and run them in Google Sheets.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Choose the most appropriate option for connecting Google Ads to BigQuery<\/b><\/h2>\n<hr \/>\n<p><span style=\"font-weight: 400;\">In this article, the Renta team described for you a 3 + 1 bonus method of extracting and loading your user Google Ads data into BigQuery. Which is the best method? It&#8217;s really simple: it depends on the requests, the user&#8217;s preferences, and the information he needs.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The data transfer service is helpful when extracting all the account data (accounts), keeping it up to date in real-time.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">You should apply Google Ads Scripts if you are familiar with coding. This method allows you to make a selection of downloaded data. At the same time, you can perform <\/span><b>data transformation<\/b><span style=\"font-weight: 400;\"> before loading it into BigQuery.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">If you need a specific report to do a one-time analysis, you just need to choose a way to send Google Ads data to BigQuery using Google Ads scripts, export the desired report, and do a file upload. And you need to remember the popular method of uploading custom data to BigQuery using Renta Marketing ETL.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">You can update a particular report with the latest data and automatically upload it to BigQuery using the official Google Sheets add-in.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; What is the reason for uploading information to a single storage unit? Google BigQuery is used to generate reports from raw data, an honest assessment of effective marketing performance. &nbsp; Google BigQuery will provide the opportunity to analyze terabytes of data just in seconds. &nbsp; Google Ads is one [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":14077,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15621],"tags":[],"class_list":["post-31573","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-pay-per-click-advertising"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google Ads data to BigQuery using Data Transfer Service - Brandignity<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google Ads data to BigQuery using Data Transfer Service - Brandignity\" \/>\n<meta property=\"og:description\" content=\"&nbsp; What is the reason for uploading information to a single storage unit? Google BigQuery is used to generate reports from raw data, an honest assessment of effective marketing performance. &nbsp; Google BigQuery will provide the opportunity to analyze terabytes of data just in seconds. &nbsp; Google Ads is one [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/\" \/>\n<meta property=\"og:site_name\" content=\"Brandignity\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/brandignity\" \/>\n<meta property=\"article:published_time\" content=\"2022-12-12T16:39:16+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-content\/uploads\/2024\/12\/Google-Ads-to-BigQuery.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"850\" \/>\n\t<meta property=\"og:image:height\" content=\"567\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@Brandignty\" \/>\n<meta name=\"twitter:site\" content=\"@Brandignty\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"9 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/#article\",\"isPartOf\":{\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/#\\\/schema\\\/person\\\/cffd778300a3cf1d761337b0d260e86b\"},\"headline\":\"Google Ads data to BigQuery using Data Transfer Service\",\"datePublished\":\"2022-12-12T16:39:16+00:00\",\"mainEntityOfPage\":{\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/\"},\"wordCount\":1720,\"commentCount\":0,\"publisher\":{\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/#organization\"},\"image\":{\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/#primaryimage\"},\"thumbnailUrl\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/wp-content\\\/uploads\\\/2024\\\/12\\\/Google-Ads-to-BigQuery.jpg?wsr\",\"articleSection\":[\"Pay Per Click Advertising\"],\"inLanguage\":\"en\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/\",\"url\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/\",\"name\":\"Google Ads data to BigQuery using Data Transfer Service - Brandignity\",\"isPartOf\":{\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/#primaryimage\"},\"image\":{\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/#primaryimage\"},\"thumbnailUrl\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/wp-content\\\/uploads\\\/2024\\\/12\\\/Google-Ads-to-BigQuery.jpg?wsr\",\"datePublished\":\"2022-12-12T16:39:16+00:00\",\"breadcrumb\":{\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/#breadcrumb\"},\"inLanguage\":\"en\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en\",\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/#primaryimage\",\"url\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/wp-content\\\/uploads\\\/2024\\\/12\\\/Google-Ads-to-BigQuery.jpg?wsr\",\"contentUrl\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/wp-content\\\/uploads\\\/2024\\\/12\\\/Google-Ads-to-BigQuery.jpg?wsr\",\"width\":850,\"height\":567,\"caption\":\"Google-Ads-to-BigQuery\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/google-ads-data-to-bigquery-using-data-transfer-service\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Google Ads data to BigQuery using Data Transfer Service\"}]},{\"@type\":\"WebSite\",\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/#website\",\"url\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/\",\"name\":\"Brandignity\",\"description\":\"Brandignity\",\"publisher\":{\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en\"},{\"@type\":\"Organization\",\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/#organization\",\"name\":\"Brandignity\",\"url\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en\",\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/wp-content\\\/uploads\\\/2023\\\/04\\\/logo.png?wsr\",\"contentUrl\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/wp-content\\\/uploads\\\/2023\\\/04\\\/logo.png?wsr\",\"width\":288,\"height\":70,\"caption\":\"Brandignity\"},\"image\":{\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/brandignity\",\"https:\\\/\\\/x.com\\\/Brandignty\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/brandignity\",\"https:\\\/\\\/www.instagram.com\\\/brandignity\"]},{\"@type\":\"Person\",\"@id\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/#\\\/schema\\\/person\\\/cffd778300a3cf1d761337b0d260e86b\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/040c0eaab18dab94c5eb6447f17ff618baff309c5316e7a2d535a852e87e8ece?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/040c0eaab18dab94c5eb6447f17ff618baff309c5316e7a2d535a852e87e8ece?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/040c0eaab18dab94c5eb6447f17ff618baff309c5316e7a2d535a852e87e8ece?s=96&d=mm&r=g\",\"caption\":\"admin\"},\"sameAs\":[\"http:\\\/\\\/www.brandignitybeta.com\\\/demo\\\/brandlatest\"],\"url\":\"http:\\\/\\\/brandignitybeta.com\\\/demo\\\/brandlatest\\\/author\\\/admin\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Google Ads data to BigQuery using Data Transfer Service - Brandignity","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/","og_locale":"en_US","og_type":"article","og_title":"Google Ads data to BigQuery using Data Transfer Service - Brandignity","og_description":"&nbsp; What is the reason for uploading information to a single storage unit? Google BigQuery is used to generate reports from raw data, an honest assessment of effective marketing performance. &nbsp; Google BigQuery will provide the opportunity to analyze terabytes of data just in seconds. &nbsp; Google Ads is one [&hellip;]","og_url":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/","og_site_name":"Brandignity","article_publisher":"https:\/\/www.facebook.com\/brandignity","article_published_time":"2022-12-12T16:39:16+00:00","og_image":[{"width":850,"height":567,"url":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-content\/uploads\/2024\/12\/Google-Ads-to-BigQuery.jpg","type":"image\/jpeg"}],"author":"admin","twitter_card":"summary_large_image","twitter_creator":"@Brandignty","twitter_site":"@Brandignty","twitter_misc":{"Written by":"admin","Est. reading time":"9 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/#article","isPartOf":{"@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/"},"author":{"name":"admin","@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/#\/schema\/person\/cffd778300a3cf1d761337b0d260e86b"},"headline":"Google Ads data to BigQuery using Data Transfer Service","datePublished":"2022-12-12T16:39:16+00:00","mainEntityOfPage":{"@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/"},"wordCount":1720,"commentCount":0,"publisher":{"@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/#organization"},"image":{"@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/#primaryimage"},"thumbnailUrl":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-content\/uploads\/2024\/12\/Google-Ads-to-BigQuery.jpg?wsr","articleSection":["Pay Per Click Advertising"],"inLanguage":"en","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/#respond"]}]},{"@type":"WebPage","@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/","url":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/","name":"Google Ads data to BigQuery using Data Transfer Service - Brandignity","isPartOf":{"@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/#website"},"primaryImageOfPage":{"@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/#primaryimage"},"image":{"@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/#primaryimage"},"thumbnailUrl":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-content\/uploads\/2024\/12\/Google-Ads-to-BigQuery.jpg?wsr","datePublished":"2022-12-12T16:39:16+00:00","breadcrumb":{"@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/#breadcrumb"},"inLanguage":"en","potentialAction":[{"@type":"ReadAction","target":["http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/"]}]},{"@type":"ImageObject","inLanguage":"en","@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/#primaryimage","url":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-content\/uploads\/2024\/12\/Google-Ads-to-BigQuery.jpg?wsr","contentUrl":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-content\/uploads\/2024\/12\/Google-Ads-to-BigQuery.jpg?wsr","width":850,"height":567,"caption":"Google-Ads-to-BigQuery"},{"@type":"BreadcrumbList","@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/google-ads-data-to-bigquery-using-data-transfer-service\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/"},{"@type":"ListItem","position":2,"name":"Google Ads data to BigQuery using Data Transfer Service"}]},{"@type":"WebSite","@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/#website","url":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/","name":"Brandignity","description":"Brandignity","publisher":{"@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en"},{"@type":"Organization","@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/#organization","name":"Brandignity","url":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/","logo":{"@type":"ImageObject","inLanguage":"en","@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/#\/schema\/logo\/image\/","url":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-content\/uploads\/2023\/04\/logo.png?wsr","contentUrl":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-content\/uploads\/2023\/04\/logo.png?wsr","width":288,"height":70,"caption":"Brandignity"},"image":{"@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/brandignity","https:\/\/x.com\/Brandignty","https:\/\/www.linkedin.com\/company\/brandignity","https:\/\/www.instagram.com\/brandignity"]},{"@type":"Person","@id":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/#\/schema\/person\/cffd778300a3cf1d761337b0d260e86b","name":"admin","image":{"@type":"ImageObject","inLanguage":"en","@id":"https:\/\/secure.gravatar.com\/avatar\/040c0eaab18dab94c5eb6447f17ff618baff309c5316e7a2d535a852e87e8ece?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/040c0eaab18dab94c5eb6447f17ff618baff309c5316e7a2d535a852e87e8ece?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/040c0eaab18dab94c5eb6447f17ff618baff309c5316e7a2d535a852e87e8ece?s=96&d=mm&r=g","caption":"admin"},"sameAs":["http:\/\/www.brandignitybeta.com\/demo\/brandlatest"],"url":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/author\/admin\/"}]}},"_links":{"self":[{"href":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-json\/wp\/v2\/posts\/31573","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-json\/wp\/v2\/comments?post=31573"}],"version-history":[{"count":0,"href":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-json\/wp\/v2\/posts\/31573\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-json\/wp\/v2\/media\/14077"}],"wp:attachment":[{"href":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-json\/wp\/v2\/media?parent=31573"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-json\/wp\/v2\/categories?post=31573"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/brandignitybeta.com\/demo\/brandlatest\/wp-json\/wp\/v2\/tags?post=31573"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}