{"id":192778,"date":"2025-02-04T06:30:00","date_gmt":"2025-02-04T05:30:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=192778"},"modified":"2025-02-04T12:43:11","modified_gmt":"2025-02-04T11:43:11","slug":"all-about-tfx","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/all-about-tfx","title":{"rendered":"TensorFlow Extended (TFX): What is it? How to use it?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"192778\" class=\"elementor elementor-192778\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0401558 e-flex e-con-boxed e-con\" data-id=\"0401558\" 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-3682f45 elementor-widget elementor-widget-text-editor\" data-id=\"3682f45\" 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><b>TensorFlow Extended (TFX) is a robust platform developed by Google, designed to standardize and optimize the entire lifecycle of machine learning (ML) models.<\/b><\/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-02b2ad1 elementor-widget elementor-widget-text-editor\" data-id=\"02b2ad1\" 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;\">With its numerous components and advanced integrations, TFX enables businesses to build <\/span><b>automated and scalable pipelines<\/b><span style=\"font-weight: 400;\">, ensuring quality and traceability of processes. In this article, we delve deeply into the features of TFX, its applications, and the reasons why it is a preferred solution for complex ML projects.<\/span><\/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-e94cc6a e-flex e-con-boxed e-con\" data-id=\"e94cc6a\" 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-04b1126 elementor-widget elementor-widget-heading\" data-id=\"04b1126\" 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><h3 class=\"elementor-heading-title elementor-size-default\">What is TensorFlow Extended (TFX)?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3ffdfce elementor-widget elementor-widget-text-editor\" data-id=\"3ffdfce\" 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><b>TFX<\/b><span style=\"font-weight: 400;\"> is an open-source platform built around <a href=\"https:\/\/datascientest.com\/en\/tensor-flow-all-about-googles-machine-learning-framework\">TensorFlow<\/a>, aimed at industrializing the lifecycle of machine learning models. The main goal of TFX is to make ML pipelines more efficient by <\/span><b>automating key ML tasks<\/b><span style=\"font-weight: 400;\"> like data preparation, model training, and deployment, while minimizing human interventions.<\/span><\/p><p><span style=\"font-weight: 400;\">With its integrations with tools such as <\/span><b>Apache Beam<\/b><span style=\"font-weight: 400;\">, <a href=\"https:\/\/datascientest.com\/en\/apache-airflow-what-is-it\">Apache Airflow<\/a>, and <\/span><b><a href=\"https:\/\/www.kubeflow.org\/\">Kubeflow<\/a> Pipelines<\/b><span style=\"font-weight: 400;\">, TFX adapts to both cloud environments and on-premises infrastructures, offering unmatched flexibility.<\/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-1fd09ef elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"1fd09ef\" 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\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\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\">Become an expert in TensorFlow<\/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-60bc80e e-flex e-con-boxed e-con\" data-id=\"60bc80e\" 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-b6c2611 elementor-widget elementor-widget-heading\" data-id=\"b6c2611\" 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\">The Key Components of TFX: A Modular Platform<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-50d4124 elementor-widget elementor-widget-text-editor\" data-id=\"50d4124\" 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;\">The components of TFX are at the heart of its efficiency. Each plays a specific role in the creation and management of ML pipelines.<\/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-d35e52d elementor-widget elementor-widget-heading\" data-id=\"d35e52d\" 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\"><font size=\"4\">1. TensorFlow Data Validation (TFDV)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e42dc5d elementor-widget elementor-widget-text-editor\" data-id=\"e42dc5d\" 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><b>TFDV<\/b><span style=\"font-weight: 400;\"> is designed to analyze datasets and detect anomalies or inconsistencies. It offers rich visualizations and detailed statistics, ensuring that input data meets the required standards for model training.<\/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-c5cdb21 elementor-widget elementor-widget-image\" data-id=\"c5cdb21\" 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\t\t\t<img decoding=\"async\" width=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-1.webp\" class=\"attachment-full size-full wp-image-192783\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-1.webp 1000w, https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-1-300x171.webp 300w, https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-1-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\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-3c1ff1d elementor-widget elementor-widget-heading\" data-id=\"3c1ff1d\" 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\"><font size=\"4\">2. TensorFlow Transform (TFT)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-784fef5 elementor-widget elementor-widget-text-editor\" data-id=\"784fef5\" 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><b>TFT<\/b><span style=\"font-weight: 400;\"> is a powerful tool for applying scalable transformations to data, such as normalization or categorical encoding. These transformations are recorded and applied consistently during training and prediction.<\/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-a87cae8 elementor-widget elementor-widget-heading\" data-id=\"a87cae8\" 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\"><font size=\"4\">3. TensorFlow Model Analysis (TFMA)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6acbdaf elementor-widget elementor-widget-text-editor\" data-id=\"6acbdaf\" 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;\">With <\/span><b>TFMA<\/b><span style=\"font-weight: 400;\">, you can analyze and evaluate your models using metrics tailored to your objectives. It also facilitates the identification of biases and weaknesses in model performance.<\/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-9b98fa5 elementor-widget elementor-widget-heading\" data-id=\"9b98fa5\" 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\"><font size=\"4\">4. TensorFlow Serving<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7919085 elementor-widget elementor-widget-text-editor\" data-id=\"7919085\" 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;\">This component manages the deployment of models in production. It is optimized to provide real-time predictions and supports continuous updates without interrupting services.<\/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-3bfdf9b elementor-widget elementor-widget-heading\" data-id=\"3bfdf9b\" 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\"><font size=\"4\">5. ML Metadata (MLMD)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9a3b2ca elementor-widget elementor-widget-text-editor\" data-id=\"9a3b2ca\" 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><b>MLMD<\/b><span style=\"font-weight: 400;\"> ensures <\/span><b>centralized management<\/b><span style=\"font-weight: 400;\"> of metadata generated by pipelines. This includes information on transformations, hyperparameters, and model outcomes, enabling total traceability.<\/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-2d944d9 elementor-widget elementor-widget-heading\" data-id=\"2d944d9\" 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\"><font size=\"4\">6. TensorFlow Pipeline Orchestration<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-87f0f72 elementor-widget elementor-widget-text-editor\" data-id=\"87f0f72\" 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><b>TFX<\/b><span style=\"font-weight: 400;\"> supports orchestration tools like Apache Airflow and Kubeflow Pipelines, which automate pipeline executions, offering seamless task management and increased scalability.<\/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-2a492d9 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"2a492d9\" 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\" 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\">Get to grips with the key TFX components<\/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-c38e592 e-flex e-con-boxed e-con\" data-id=\"c38e592\" 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-d7cb227 elementor-widget elementor-widget-heading\" data-id=\"d7cb227\" 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 Adopt TFX for Your ML Projects?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b7063a5 elementor-widget elementor-widget-heading\" data-id=\"b7063a5\" 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\"><font size=\"4\">1. Automation and Time Savings<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c427e6 elementor-widget elementor-widget-text-editor\" data-id=\"6c427e6\" 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;\">With TFX, recurring tasks such as <\/span><b>data validation<\/b><span style=\"font-weight: 400;\"> or <\/span><b>model evaluation are automated<\/b><span style=\"font-weight: 400;\">, allowing teams to focus on strategic aspects. Automated processes also reduce the risk of human errors.<\/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-6daefab elementor-widget elementor-widget-heading\" data-id=\"6daefab\" 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\"><font size=\"4\">2. Seamless Integration<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3692813 elementor-widget elementor-widget-text-editor\" data-id=\"3692813\" 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;\">TFX integrates seamlessly with existing environments, whether cloud-based or on-premises. Businesses can leverage cloud solutions like <a href=\"https:\/\/datascientest.com\/en\/google-cloud-platform-monitoring-features-and-benefits\">Google Cloud<\/a> or tools like <\/span><b>Vertex AI<\/b><span style=\"font-weight: 400;\"> to enhance their processing capabilities.<\/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-5c80f05 elementor-widget elementor-widget-heading\" data-id=\"5c80f05\" 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\"><font size=\"4\">3. Standardization and Reproducibility<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-344b28c elementor-widget elementor-widget-text-editor\" data-id=\"344b28c\" 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;\">TFX pipelines are designed to be <\/span><b>standardized<\/b><span style=\"font-weight: 400;\"> and <\/span><b>reproducible<\/b><span style=\"font-weight: 400;\">, ensuring consistency in data processing and model training.<\/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-cbc6206 elementor-widget elementor-widget-heading\" data-id=\"cbc6206\" 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\"><font size=\"4\">4. Cost Optimization<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-33f8a75 elementor-widget elementor-widget-text-editor\" data-id=\"33f8a75\" 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;\">Through effective orchestration and automation, TFX reduces the time and resources required to deploy models into production.<\/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-77d5686 elementor-widget elementor-widget-image\" data-id=\"77d5686\" 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\" width=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-2.webp\" class=\"attachment-full size-full wp-image-192782\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-2.webp 1000w, https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-2-300x171.webp 300w, https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-2-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6b56a6a e-flex e-con-boxed e-con\" data-id=\"6b56a6a\" 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-464a09f elementor-widget elementor-widget-heading\" data-id=\"464a09f\" 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\">Industry Applications of TFX<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2b4134b elementor-widget elementor-widget-text-editor\" data-id=\"2b4134b\" 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;\">TFX adapts to a wide variety of sectors due to its flexibility and advanced features. Here are some examples of real-world applications:<\/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-fb6242a elementor-widget elementor-widget-heading\" data-id=\"fb6242a\" 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\"><font size=\"4\">1. E-commerce Sector<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-49a0054 elementor-widget elementor-widget-text-editor\" data-id=\"49a0054\" 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;\">Companies use <\/span><b>TFX<\/b><span style=\"font-weight: 400;\"> to optimize recommendation systems, enabling increased personalization of the user experience based on customer behaviors.<\/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-5106d78 elementor-widget elementor-widget-heading\" data-id=\"5106d78\" 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\"><font size=\"4\">2. Healthcare and Biotechnology<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8fbc006 elementor-widget elementor-widget-text-editor\" data-id=\"8fbc006\" 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;\">TFX facilitates the analysis of large medical datasets, contributing to advances in AI-assisted diagnostics.<\/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-6867e7f elementor-widget elementor-widget-heading\" data-id=\"6867e7f\" 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\"><font size=\"4\">3. Financial Services<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf8488a elementor-widget elementor-widget-text-editor\" data-id=\"cf8488a\" 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;\">Financial institutions rely on TFX for critical applications such as fraud detection or risk assessment, where accuracy and speed are paramount.<\/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-ef9f415 elementor-widget elementor-widget-heading\" data-id=\"ef9f415\" 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\"><font size=\"4\">4. Digital Advertising<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a5bc8b3 elementor-widget elementor-widget-text-editor\" data-id=\"a5bc8b3\" 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;\">In the domain of digital marketing, TFX is used to optimize advertising campaigns by analyzing user data in real-time with <\/span><b>TensorFlow Serving<\/b><span style=\"font-weight: 400;\">.<\/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-a183d07 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"a183d07\" 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\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\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\">Become a Machine Learning Engineer<\/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-819fbef e-flex e-con-boxed e-con\" data-id=\"819fbef\" 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-9725042 elementor-widget elementor-widget-heading\" data-id=\"9725042\" 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\">Practical Steps to Create an ML Pipeline with TFX<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9446846 elementor-widget elementor-widget-text-editor\" data-id=\"9446846\" 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<ol><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Data Analysis:<\/b><span style=\"font-weight: 400;\"> Use TFDV to inspect data and identify potential anomalies.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Data Transformation:<\/b><span style=\"font-weight: 400;\"> Apply scalable transformations via TFT.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Model Training:<\/b><span style=\"font-weight: 400;\"> Configure your algorithms with TensorFlow to learn from transformed data.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Performance Evaluation:<\/b><span style=\"font-weight: 400;\"> Check model effectiveness with TFMA.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Deployment:<\/b><span style=\"font-weight: 400;\"> Deploy models using TensorFlow Serving.<\/span><\/li><li><b>Continuous Monitoring:<\/b><span style=\"font-weight: 400;\"> Use MLMD to monitor performance and adjust models as needed.<\/span><\/li><\/ol>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0fc9fbb elementor-widget elementor-widget-image\" data-id=\"0fc9fbb\" 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\" width=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-3.webp\" class=\"attachment-full size-full wp-image-192781\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-3.webp 1000w, https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-3-300x171.webp 300w, https:\/\/datascientest.com\/en\/files\/2025\/01\/TensorFlow-Extended-TFX-DataScientest-3-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d8ed10c e-flex e-con-boxed e-con\" data-id=\"d8ed10c\" 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-b9d2d2e elementor-widget elementor-widget-heading\" data-id=\"b9d2d2e\" 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\">Common Challenges and Solutions Provided by TFX<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ebac277 elementor-widget elementor-widget-heading\" data-id=\"ebac277\" 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\"><font size=\"4\">Complexity of ML Systems<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa8b0ca elementor-widget elementor-widget-text-editor\" data-id=\"aa8b0ca\" 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;\">TFX simplifies the construction and management of pipelines by unifying critical steps in a single platform.<\/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-ed7706f elementor-widget elementor-widget-heading\" data-id=\"ed7706f\" 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\"><font size=\"4\">Continuous Maintenance<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d517f6d elementor-widget elementor-widget-text-editor\" data-id=\"d517f6d\" 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;\">Automated monitoring and retraining ensure models remain effective as data evolves.<\/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-167c81b elementor-widget elementor-widget-heading\" data-id=\"167c81b\" 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\"><font size=\"4\">Resource Management<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aefa0b1 elementor-widget elementor-widget-text-editor\" data-id=\"aefa0b1\" 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;\">By integrating cloud solutions and orchestration tools, TFX optimizes resource utilization and reduces costs.<\/span><\/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-05ed4c7 e-flex e-con-boxed e-con\" data-id=\"05ed4c7\" 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-fd2e1ef elementor-widget elementor-widget-heading\" data-id=\"fd2e1ef\" 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\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-77f938b elementor-widget elementor-widget-text-editor\" data-id=\"77f938b\" 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><b>TensorFlow Extended (TFX)<\/b><span style=\"font-weight: 400;\"> is an essential tool for companies looking to <a href=\"https:\/\/datascientest.com\/en\/all-about-data-pipeline\">maximize the efficiency and reliability of their ML pipelines<\/a>. With its modular components and integration capabilities, it offers a comprehensive solution to <\/span><b>automate<\/b><span style=\"font-weight: 400;\"> and <\/span><b>standardize<\/b><span style=\"font-weight: 400;\"> the ML model lifecycle. Whether you are a developer or a decision-maker, investing in TFX is a strategic decision to ensure the long-term success of your AI projects.<\/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-912c35c elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"912c35c\" 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\" href=\"https:\/\/datascientest.com\/en\/\">\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\">Get training 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-a22bd1d e-flex e-con-boxed e-con\" data-id=\"a22bd1d\" 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-2d4c433 elementor-widget elementor-widget-html\" data-id=\"2d4c433\" 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\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"What is TensorFlow Extended (TFX)?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"TensorFlow Extended (TFX) is an open-source platform designed for the complete management of machine learning pipelines, from data preparation to model deployment in production.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"What are the key components of TFX?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"The key components of TFX include TFX Data Validation (TFDV) for data analysis, TensorFlow Transform (TFT) for data transformation, TensorFlow Model Analysis (TFMA) for model evaluation, and TensorFlow Serving for production deployment.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"What are the advantages of TFX compared to other machine learning platforms?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"TFX is closely integrated with TensorFlow, enabling seamless model management. It offers specialized tools for each stage of the pipeline and supports both cloud and on-premise environments.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Is TFX suitable for beginners in machine learning?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"TFX is primarily intended for professionals working on large-scale machine learning projects. Beginners can start by learning TensorFlow before moving on to TFX for advanced pipelines.\"\r\n      }\r\n    }\r\n  ]\r\n}\r\n<\/script>\r\n\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\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>TensorFlow Extended (TFX) is a robust platform developed by Google, designed to standardize and optimize the entire lifecycle of machine learning (ML) models. With its numerous components and advanced integrations, TFX enables businesses to build automated and scalable pipelines, ensuring quality and traceability of processes. In this article, we delve deeply into the features of [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":192780,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"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>TensorFlow Extended (TFX): What is it? How to use it?<\/title>\n<meta name=\"description\" content=\"Discover TensorFlow Extended (TFX), Google&#039;s open-source framework for deploying machine learning pipelines in production: automation, scalability, and optimized model management.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/all-about-tfx\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"TensorFlow Extended (TFX): What is it? 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