{"id":171900,"date":"2023-10-14T16:12:57","date_gmt":"2023-10-14T15:12:57","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=171900"},"modified":"2023-10-14T16:17:22","modified_gmt":"2023-10-14T15:17:22","slug":"gcp-dataflow-what-is-it-whats-it-for","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/gcp-dataflow-what-is-it-whats-it-for","title":{"rendered":"GCP Dataflow: What is it? What&#8217;s it for?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"171900\" class=\"elementor elementor-171900\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5d7cf55f e-flex e-con-boxed e-con\" data-id=\"5d7cf55f\" 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-8061e1c elementor-widget elementor-widget-heading\" data-id=\"8061e1c\" 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\">DevOps and data experts benefit from a wide range of services to help them successfully carry out their projects on Google Cloud Platform. GCP Dataflow is one of them. So what is it? What are its features? Why use this tool? What are its advantages? Find out in this article. <span style=\"color: var( --e-global-color-primary ); text-align: var(--text-align);\"><\/span><br><\/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-65a268c5 e-flex e-con-boxed e-con\" data-id=\"65a268c5\" 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-788dfd90 elementor-widget elementor-widget-heading\" data-id=\"788dfd90\" 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 GCP Dataflow ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-71f531e8 elementor-widget elementor-widget-text-editor\" data-id=\"71f531e8\" 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>Launched in 2015 as a beta service, <a href=\"https:\/\/datascientest.com\/en\/gpc-vpc-everything-you-need-to-know-about-googles-virtual-private-cloud\">GCP Dataflow<\/a> is a fully managed service that simplifies data processing for both stream and batch data. In conjunction with the creation of Dataflow, <a href=\"https:\/\/datascientest.com\/en\/terraform-using-gcp-to-deploy-your-infrastructure\">Google also developed the Apache Software Foundation to access GCP&#8217;s data<\/a> services. As a result, Dataflow enables the execution of pipelines using the open-source Apache Beam programming model.<\/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-14b2a0d8 e-flex e-con-boxed e-con\" data-id=\"14b2a0d8\" 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-5ce60202 elementor-widget elementor-widget-heading\" data-id=\"5ce60202\" 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 features of the Dataflow service?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2a41cbf4 elementor-widget elementor-widget-heading\" data-id=\"2a41cbf4\" 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\">Continuous data analysis<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2808eec2 elementor-widget elementor-widget-text-editor\" data-id=\"2808eec2\" 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>GCP Dataflow&#8217;s Streaming Analytics organizes your data, ensuring its relevance and availability. With its processing power, it enables you to acquire, process, and <a href=\"https:\/\/datascientest.com\/en\/kpis-key-performance-indicators\">analyze large datasets in real-time.<\/a> For Data Scientists and Data Analysts, this analytics tool is a significant time-saver, especially for accessing insights from data streams.<\/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-9ee73e3 elementor-widget elementor-widget-heading\" data-id=\"9ee73e3\" 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\">Artificial Intelligence in real time<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41540291 elementor-widget elementor-widget-text-editor\" data-id=\"41540291\" 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 Cloud Platform&#8217;s DataFlow service uses <a href=\"https:\/\/datascientest.com\/en\/google-improves-its-workspace-suite-with-artificial-intelligence\">Artificial Intelligence<\/a> to detect anomalies, identify patterns, personalize customer journeys, and perform predictive analytics. Regardless of the <a href=\"https:\/\/datascientest.com\/en\/google-creates-the-first-regulation-for-artificial-intelligence\">AI application<\/a> within an organization, it enables teams to respond rapidly, even when multiple events occur simultaneously.<\/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-330c021e elementor-widget elementor-widget-image\" data-id=\"330c021e\" 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\" width=\"640\" height=\"414\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/ia-dataflow-gcp.jpg\" class=\"attachment-full size-full wp-image-171903\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/ia-dataflow-gcp.jpg 640w, https:\/\/datascientest.com\/en\/files\/2023\/10\/ia-dataflow-gcp-300x194.jpg 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\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-1d97b36f elementor-widget elementor-widget-heading\" data-id=\"1d97b36f\" 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\">Automatic vertical\/horizontal scaling<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d8bd359 elementor-widget elementor-widget-text-editor\" data-id=\"d8bd359\" 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<div class=\"flex flex-grow flex-col gap-3 max-w-full\"><div class=\"min-h-[20px] flex flex-col items-start gap-3 whitespace-pre-wrap break-words overflow-x-auto\"><div class=\"markdown prose w-full break-words dark:prose-invert light\"><p>GCP Dataflow offers two types of scaling:<\/p><ol><li><p><strong>Vertical Autoscaling<\/strong>: This protects tasks against insufficient memory issues, enhancing pipeline efficiency.<\/p><\/li><li><p><strong>Horizontal Autoscaling<\/strong>: This determines the appropriate number of developers or analysts needed to complete a task automatically. The number of workers can vary during a process based on task intensity.<\/p><\/li><\/ol><\/div><\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2d8a0bbf elementor-widget elementor-widget-text-editor\" data-id=\"2d8a0bbf\" 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 any case, the goal is to adjust the computing capacity of teams based on their usage. To optimize performance and resources, you can also combine vertical and horizontal autoscaling.<\/p><p>Additionally, Dataflow Prime enables you to create specific resource pools, which helps prevent resource wastage.<\/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-612df743 elementor-widget elementor-widget-heading\" data-id=\"612df743\" 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\">Intelligent diagnostics <\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-49928015 elementor-widget elementor-widget-text-editor\" data-id=\"49928015\" 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<div class=\"flex-col gap-1 md:gap-3\"><div class=\"flex flex-grow flex-col gap-3 max-w-full\"><div class=\"min-h-[20px] flex flex-col items-start gap-3 whitespace-pre-wrap break-words overflow-x-auto\"><div class=\"markdown prose w-full break-words dark:prose-invert light\"><p>These diagnostics include several features:<\/p><ol><li><p><strong>Data Pipeline Management<\/strong>: Google adapts the Dataflow pipeline based on the level of service.<\/p><\/li><li><p><strong>Dataflow Task Visualization<\/strong>: Through charts, it&#8217;s possible to quickly identify bottlenecks.<\/p><\/li><li><p><strong>Automated Recommendations<\/strong>: In addition to identifying performance or availability issues, GCP Dataflow helps teams resolve them.<\/p><\/li><\/ol><\/div><\/div><\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2fc7565 elementor-widget elementor-widget-heading\" data-id=\"2fc7565\" 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\">Real-time data capture<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-28755a9a elementor-widget elementor-widget-text-editor\" data-id=\"28755a9a\" 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>Data scientists and<a href=\"https:\/\/datascientest.com\/en\/data-analyst-tools\"> data analysts can synchronize and replicate information<\/a> from heterogeneous data sources. For example, replicating data from Google Cloud Storage to BigQuery or PostgreSQL. All of this is done while ensuring data reliability and minimal latency, allowing for continuous data feeding into analyses.<\/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-3b6c8a8e elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"3b6c8a8e\" 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\">Learn the DataFlow functions<\/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-2455a301 e-flex e-con-boxed e-con\" data-id=\"2455a301\" 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-fdc78a0 elementor-widget elementor-widget-heading\" data-id=\"fdc78a0\" 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\">Why use GCP Dataflow?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6382d326 elementor-widget elementor-widget-text-editor\" data-id=\"6382d326\" 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<div class=\"flex-col gap-1 md:gap-3\"><div class=\"flex flex-grow flex-col gap-3 max-w-full\"><div class=\"min-h-[20px] flex flex-col items-start gap-3 whitespace-pre-wrap break-words overflow-x-auto\"><div class=\"markdown prose w-full break-words dark:prose-invert light\"><p>With all these features, Google Dataflow can be applied in various scenarios. Here are the main ones:<\/p><\/div><\/div><\/div><\/div><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/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-2c430713 elementor-widget elementor-widget-heading\" data-id=\"2c430713\" 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\">E-Commerce<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5402e03f elementor-widget elementor-widget-text-editor\" data-id=\"5402e03f\" 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>E-commerce companies can establish a GCP Dataflow streaming pipeline to transform their Pub\/Sub data before transmitting it to BigQuery and Cloud Bigtable.<\/p><p>This approach enables, for instance, the retrieval of product views over a specific time frame (across various scales), the enhancement of inventory management, and the analysis of purchasing behaviors.<\/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-6fedeaa2 elementor-widget elementor-widget-heading\" data-id=\"6fedeaa2\" 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\">Fraud detection<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bfbd7d4 elementor-widget elementor-widget-text-editor\" data-id=\"bfbd7d4\" 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>While the use of c<strong>redit cards is essential for online payments<\/strong>, it also elevates the risk of fraud. Such fraudulent activities can result in significant losses for organizations. GCP Dataflow can be effectively employed for fraud detection. To achieve this, it is advisable to <a href=\"https:\/\/datascientest.com\/en\/all-about-data-pipeline\">construct a pipeline<\/a> that categorizes the validity of credit card transactions. Subsequently, real-time data predictions can be made to identify any potential fraudulent risks.<\/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-31e0cc41 elementor-widget elementor-widget-heading\" data-id=\"31e0cc41\" 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\">Alert monitoring and configuration<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3a62803a elementor-widget elementor-widget-text-editor\" data-id=\"3a62803a\" 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>You can set up monitoring for your services, such as customer service, sales, marketing, information systems, industrial processes, and more. To monitor these various elements, all that&#8217;s needed is to configure custom metrics that represent your service level objectives.<\/p><p>Subsequently, you can schedule alerts when these metrics reach predefined thresholds. To accomplish this, utilize the Cloud Dataflow runner in conjunction with Stackdriver alerts.<\/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-21d0deb2 elementor-widget elementor-widget-image\" data-id=\"21d0deb2\" 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<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"640\" height=\"376\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/dataflow-gcp.jpg\" class=\"attachment-full size-full wp-image-171904\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/dataflow-gcp.jpg 640w, https:\/\/datascientest.com\/en\/files\/2023\/10\/dataflow-gcp-300x176.jpg 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-56e8009f e-flex e-con-boxed e-con\" data-id=\"56e8009f\" 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-65f4d805 elementor-widget elementor-widget-heading\" data-id=\"65f4d805\" 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 advantages of Dataflow GCP?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54c23a42 elementor-widget elementor-widget-text-editor\" data-id=\"54c23a42\" 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><span style=\"font-weight: 400;\">Google Dataflow has garnered significant success among Big Data professionals, and this can be attributed to its numerous advantages.<\/span><\/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-11e1a37d elementor-widget elementor-widget-heading\" data-id=\"11e1a37d\" 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\">Saving time<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1778dd1a elementor-widget elementor-widget-text-editor\" data-id=\"1778dd1a\" 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>With GCP Dataflow, developers are relieved of the burden of performance tracking and resource management. The Dataflow service takes care of these aspects. This tool gathers the necessary data and optimizes the infrastructure, allowing developers to concentrate on writing data processing code.<\/p><p>Similarly, Data Analysts and Data Scientists save valuable time when analyzing data in real-time and batch processing.<\/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-75450033 elementor-widget elementor-widget-heading\" data-id=\"75450033\" 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\">Cost reduction <\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1555079d elementor-widget elementor-widget-text-editor\" data-id=\"1555079d\" 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 is made possible by:<\/p><p>1. The serverless approach, which eliminates operational overhead from data engineering workloads.<br \/>2. The FlexRS feature utilizes advanced scheduling techniques to reduce batch processing costs.<br \/>3. Scalability optimizes resources, thus reducing unnecessary expenses.<\/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-8ce21f7 elementor-widget elementor-widget-heading\" data-id=\"8ce21f7\" 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\">Adaptation<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3fa963ff elementor-widget elementor-widget-text-editor\" data-id=\"3fa963ff\" 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>Dataflow can be implemented in three programming languages: Java, Python, and Go. Moreover, you can seamlessly integrate it with Cloud ML Engine, Google BigQuery, and Pub\/Sub.<\/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-be839d5 elementor-widget elementor-widget-heading\" data-id=\"be839d5\" 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\">Flexibility<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-60ec2597 elementor-widget elementor-widget-text-editor\" data-id=\"60ec2597\" 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>GCP Dataflow operates on the principle of associative reduction. This means that developers don&#8217;t have to wait for the first step to complete before starting a new one.<\/p><p>Furthermore, this service is horizontally scalable, meaning it automatically expands during the workflow execution.<\/p><p>To fully benefit from GCP Dataflow&#8217;s advantages, it&#8217;s advisable to receive training in this tool. Various training options are available through Datascientest for this purpose.<\/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-721b9f70 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"721b9f70\" 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\">Learn to master GCP Dataflow<\/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-235e6cec e-flex e-con-boxed e-con\" data-id=\"235e6cec\" 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-46a28e11 elementor-widget elementor-widget-heading\" data-id=\"46a28e11\" 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\">Key facts<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1cfe29de elementor-widget elementor-widget-text-editor\" data-id=\"1cfe29de\" 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\"><p>GCP Dataflow simplifies both stream and batch data processing. With its versatile features, this service can be applied to a wide range of applications, from e-commerce to fraud detection and industrial process optimization.<\/p><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><p><strong>Google Dataflow<\/strong> empowers organizations to conduct swift data stream analysis, streamline operational processes, and reduce costs.<\/p><\/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-6b553f83 e-flex e-con-boxed e-con\" data-id=\"6b553f83\" 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\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>DevOps and data experts benefit from a wide range of services to help them successfully carry out their projects on Google Cloud Platform. GCP Dataflow is one of them. So what is it? What are its features? Why use this tool? What are its advantages? Find out in this article. What is GCP Dataflow ? [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":171902,"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>GCP Dataflow: What is it? 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