{"id":178714,"date":"2024-03-29T08:37:00","date_gmt":"2024-03-29T07:37:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=178714"},"modified":"2024-02-14T22:26:58","modified_gmt":"2024-02-14T21:26:58","slug":"google-bigquery-everything-you-need-to-know-about-this-data-warehouse","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/google-bigquery-everything-you-need-to-know-about-this-data-warehouse","title":{"rendered":"Google BigQuery: Everything you need to know about this data warehouse"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"178714\" class=\"elementor elementor-178714\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a9cbbc0 e-flex e-con-boxed e-con\" data-id=\"a9cbbc0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-607256a elementor-widget elementor-widget-heading\" data-id=\"607256a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">One of the most popular cloud datawarehouse solutions is Google BigQuery. Thanks to its many features, this warehouse simplifies data management and analysis. So what is BigQuery? Who is it aimed at? What features does it have? What are its strengths? All the answers are in this article.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f30b749 e-flex e-con-boxed e-con\" data-id=\"f30b749\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5d0fe0b elementor-widget elementor-widget-heading\" data-id=\"5d0fe0b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is BigQuery?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e591c2a elementor-widget elementor-widget-text-editor\" data-id=\"e591c2a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><strong>BigQuery<\/strong> is a <a href=\"https:\/\/datascientest.com\/en\/data-warehouse-2\">data warehouse<\/a> managed entirely by Google. Thanks to integrated functionalities such as Machine Learning and Business Intelligence, this datawarehouse <a href=\"https:\/\/datascientest.com\/en\/acid-in-database-management\">simplifies data management<\/a> and analysis. This is precisely why it is one of the favourite tools of data analysts.<\/p><p>But also because of its unique features. Indeed, since its launch in 2010, Google has sought to revolutionise existing datawarehouses. <strong>BigQuery<\/strong> has a serverless architecture, it has no index, its database is column-free, it can perform numerous updates per second, etc.<\/p><p>Good to know: Its main competitors are Amazon Redshit, Oracle database and <a href=\"https:\/\/datascientest.com\/en\/snowflake-all-about\">Snowflake.<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-09abc2c e-flex e-con-boxed e-con\" data-id=\"09abc2c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-48d1c88 elementor-widget elementor-widget-heading\" data-id=\"48d1c88\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Who is Google BigQuery for?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18d46ef elementor-widget elementor-widget-text-editor\" data-id=\"18d46ef\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Google BigQuery is aimed at all experts responsible for processing data, such as data analysts, data scientists, data administrators and developers. Because everyone&#8217;s job is different, Google BigQuery offers a range of features to meet all kinds of needs. For example<\/p><ul><li><strong>Data analysts:<\/strong> can query and analyse BigQuery data using different tools, such as Looker, BI Engine or Google sheets.<br \/>Administrators: they can consult BigQuery tables to optimise data governance.<\/li><li><strong>Data scientists:<\/strong> can train BigQuery models for predictive analysis or classification.<\/li><li><strong>Developers:<\/strong> they can load data sets into the Google datawarehouse to develop high-performance applications or software.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03e1a6a elementor-widget elementor-widget-image\" data-id=\"03e1a6a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/expert-big-data.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fed5ce elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"6fed5ce\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn to use BigQuery with DataScientest<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fed075b e-flex e-con-boxed e-con\" data-id=\"fed075b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-55a960f elementor-widget elementor-widget-heading\" data-id=\"55a960f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the functionalities?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ada0450 elementor-widget elementor-widget-text-editor\" data-id=\"ada0450\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Google BigQuery<\/strong> provides users with a host of features to simplify their data management and analysis work. Here are the main ones.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ac1a1c elementor-widget elementor-widget-heading\" data-id=\"1ac1a1c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">For storage<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3d1d851 elementor-widget elementor-widget-text-editor\" data-id=\"3d1d851\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In addition to the Google cloud platform, <strong>BigQuery offers a number of features for optimising data storage.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d01f89e elementor-widget elementor-widget-heading\" data-id=\"d01f89e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\"><i><b>L\u2019API storage write<\/b><\/i><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4ccdc5 elementor-widget elementor-widget-text-editor\" data-id=\"c4ccdc5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This high-performance API combines feed ingestion and batch loading. In practical terms, this API works using streams. This is what enables data to be written to<strong> BigQuery tables<\/strong>. In principle, the storage write API broadcasts streams by default. You will then receive the data continuously. But depending on your needs, you can also create your own feeds.<\/p><p>Using this functionality, you can :<\/p><ul><li>stream recordings in real time ;<\/li><li>process a large number of recordings in batch;<\/li><li>transfer your data by streaming.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d242258 elementor-widget elementor-widget-heading\" data-id=\"d242258\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\"><i><b>Le service de transfert de donn\u00e9es<\/b><\/i><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8805413 elementor-widget elementor-widget-text-editor\" data-id=\"8805413\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The aim is to automate the transfer of data to BigQuery. Thanks to this service, data analysts have access to an enriched database, without having to write a single line of code.<\/p><p>Data can be transferred from a wide variety of data sources. These include Google SaaS applications (such as Google ADs, Google Play, YouTube, Cloud Storage, etc.), as well as third-party applications such as Amazon S3, Amazon Redshift and Teradata.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5fafc40 elementor-widget elementor-widget-heading\" data-id=\"5fafc40\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\"><i><b>Resource organisation models<\/b><\/i>.<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7364554 elementor-widget elementor-widget-text-editor\" data-id=\"7364554\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>To help administrators better manage their resources, <strong>Google BigQuery<\/strong> provides them with several models. Within each model, GBQ defines several elements that enable data to be prioritised, namely (from the bottom to the top of the pyramid):<\/p><ul><li>Datasets ;<\/li><li>Projects ;<\/li><li>Files;<\/li><li>Organisations.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8ce6f54 elementor-widget elementor-widget-text-editor\" data-id=\"8ce6f54\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>These can be used to handle different types of workload, such as authorisations, quotas, location reservations and billing.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf11326 elementor-widget elementor-widget-heading\" data-id=\"cf11326\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">For analysis<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c0dd650 elementor-widget elementor-widget-heading\" data-id=\"c0dd650\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\"><i><b>BigQuery ML<\/b><\/i><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1870fe2 elementor-widget elementor-widget-text-editor\" data-id=\"1870fe2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Using standard SQL queries in <strong>BigQuery,<\/strong> users can run machine learning models. Traditionally, using machine learning on large datasets requires advanced knowledge of ML structures. This excludes data analysts and severely limits the number of profiles within an organisation. With BigQuery, analysts will be able to use machine learning thanks to their knowledge of SQL tools. Even for large quantities of data.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-07415bb elementor-widget elementor-widget-heading\" data-id=\"07415bb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\"><i><b>Business intelligence<\/b><\/i><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b8b7414 elementor-widget elementor-widget-text-editor\" data-id=\"b8b7414\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Google Big Query is compatible with other tools, such as BI Engine, Looker Studio, Looker, Google Sheets, <a href=\"https:\/\/datascientest.com\/en\/power-bi-vs-tableau\">Tableau and Power BI.<\/a> This enables data analysts to automate their data analysis and visualisation processes.<\/p><p>With analytics faster, more efficient and less time-consuming, BigQuery users can focus their attention on increasingly advanced analyses. Ultimately, this helps organisations to make better decisions.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42cfe3f elementor-widget elementor-widget-image\" data-id=\"42cfe3f\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/stockage-donnees-bigquery.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f1db481 elementor-widget elementor-widget-heading\" data-id=\"f1db481\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">For data management<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d0287cc elementor-widget elementor-widget-text-editor\" data-id=\"d0287cc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>As well as storage and analysis,<strong> BigQuery<\/strong> offers a number of powerful features to improve data administration. These include<\/p><ul><li><a href=\"https:\/\/datascientest.com\/en\/aws-identity-access-management-iam-how-does-it-work\"><strong>IAM<\/strong><\/a>: this is an access authentication management system. It is used to secure data.<\/li><li><strong>Centralisation:<\/strong> data and computing resources are centralised to simplify management.<\/li><li><strong>Tasks:<\/strong> BigQuery can perform several actions on your behalf to load, export, query or copy data.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b6a8489 e-flex e-con-boxed e-con\" data-id=\"b6a8489\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-70ba8c2 elementor-widget elementor-widget-heading\" data-id=\"70ba8c2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Quels sont les avantages de BigQuery ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e6a0f7 elementor-widget elementor-widget-text-editor\" data-id=\"8e6a0f7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>If <strong>Google BigQuery<\/strong> is one of the preferred tools of data analysts, it&#8217;s because of its many advantages, including :<\/p><ul><li><strong>Ease of use:<\/strong> you simply transfer your data to BigQuery to use all its features. And because it&#8217;s a serverless service, there&#8217;s no need to manage a complex <a href=\"https:\/\/datascientest.com\/en\/sql-queries-the-5-most-important-commands-to-know\">infrastructure to use SQL queries<\/a><\/li><li><strong>Performance:<\/strong> BigQuery has a distributed and scalable analysis engine. This means that it can query queries of several terabytes in just a few seconds, and queries of several petabytes in a few minutes.<\/li><li><strong>Compatibility<\/strong>: whether in terms of programming languages (Python,<a href=\"https:\/\/datascientest.com\/en\/java-fundamentals-explained-jdk-jre-and-jvm\"> Java<\/a>, JavaScript or Go) or third-party applications (Amazon Redshift, Teradata, etc.).<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-57b9a6c e-flex e-con-boxed e-con\" data-id=\"57b9a6c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-38b429c elementor-widget elementor-widget-heading\" data-id=\"38b429c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Things to remember<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5440bdf elementor-widget elementor-widget-text-editor\" data-id=\"5440bdf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li style=\"font-weight: 400;\" aria-level=\"1\">Google Big Query is a serverless data warehouse.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">This tool is aimed at all data specialists for analysis, machine learning, data management and storage.<\/li><li style=\"font-weight: 400;\" aria-level=\"1\">Big Query offers unique performance, as it can digest a terabyte in just a few seconds.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6170a41 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"6170a41\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Sign up for training to master BigQuery <\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-91012b4 e-flex e-con-boxed e-con\" data-id=\"91012b4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b86ab2b elementor-widget elementor-widget-html\" data-id=\"b86ab2b\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is BigQuery?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"BigQuery is a data warehouse managed entirely by Google. 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What features does it have? What are its strengths? All the answers are in this article. What is BigQuery? BigQuery is a data [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":178718,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2412],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Google BigQuery: Everything you need to know about this data warehouse<\/title>\n<meta name=\"description\" content=\"One of the most popular cloud datawarehouse solutions is Google BigQuery. 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