{"id":171156,"date":"2023-09-24T15:34:05","date_gmt":"2023-09-24T14:34:05","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=171156"},"modified":"2023-10-30T20:15:17","modified_gmt":"2023-10-30T19:15:17","slug":"azure-data-factory-what-is-it-and-what-is-it-for","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/azure-data-factory-what-is-it-and-what-is-it-for","title":{"rendered":"Azure Data Factory: what is it and what is it for?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"171156\" class=\"elementor elementor-171156\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1a499dac elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1a499dac\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-30ffa1ed\" data-id=\"30ffa1ed\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2605b5f5 elementor-widget elementor-widget-heading\" data-id=\"2605b5f5\" 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\">In the age of Big Data, raw data is often disorganized and stored in sometimes disparate systems. When this data is isolated, companies and data teams are unable to make the most of it and derive decisions from it. The Microsoft Azure Data Factory solution is designed to overcome these difficulties and enable this raw data - from a variety of sources - to become usable data for business.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3e4fbdc3 elementor-widget elementor-widget-heading\" data-id=\"3e4fbdc3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What is Azure Data Factory?<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-47e8c822 elementor-widget elementor-widget-text-editor\" data-id=\"47e8c822\" 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>Azure Data Factory<\/strong> is a service designed by Microsoft to allow developers to integrate various data sources. It is a platform similar to SSIS that enables you to manage both on-premises and cloud data.<\/p><p>Definition of SSIS: SSIS &#8211; SQL Server Integration Services &#8211; is a component of Microsoft SQL Database software that allows you to perform data migrations.<\/p><p>This service provides access to on-premises data sources like SQL databases as well as cloud data sources like Azure SQL Database.<\/p><p>Azure Data Factory is a perfect solution when it comes to building hybrid <a href=\"https:\/\/datascientest.com\/en\/dataflow-power-bi-everything-you-need-to-know-about-the-self-service-etl-tool\">Extract-Transform-Load (ETL)<\/a> or Extract-Load-Transform (ELT) data pipelines and data integration.<\/p><p>A quick reminder: ETL is a type of data integration process that refers to three distinct but interconnected stages (extraction, transformation, and loading). It is used to consolidate data from multiple sources repeatedly to build a data warehouse, data hub, or data lake.<\/p><p><strong>Azure Data Factory<\/strong> has become an essential tool in cloud computing. In almost every project, you will need to perform data movement activities across different networks (on-premises and cloud) and different services (from and to various Azure storages).<\/p><p>Data Factory is particularly crucial for organizations taking their first steps into the cloud, trying to <a href=\"https:\/\/datascientest.com\/en\/cloud-data-engineer-course-the-best-options\">connect on-premises data with the cloud<\/a>. For this purpose, Azure Data Factory has an integration runtime engine, a gateway service that can be installed on-premises, ensuring efficient and secure data transfer to and from the cloud.<\/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-54c3546c elementor-widget elementor-widget-heading\" data-id=\"54c3546c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How does Azure Data Factory work?<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-798cc8b4 elementor-widget elementor-widget-heading\" data-id=\"798cc8b4\" 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\">Connection and data collection<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-605decc4 elementor-widget elementor-widget-text-editor\" data-id=\"605decc4\" 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=\"color: #000000;\">The first step is to connect and collect data from various sources, whether they are on-premises or in the cloud, structured or unstructured.<strong><a href=\"https:\/\/datascientest.com\/en\/azure-course-master-azure-cloud-with-our-comprehensive-course\"> Azure<\/a> Data Factory<\/strong> allows you to connect all these different data sources as well as data processing services. Then, the data needs to be moved to a centralized location. In the traditional approach, companies have to build the entire data infrastructure for data movement. Thanks to Data Factory, this step becomes very easy and fast.<br \/><\/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-439d9e52 elementor-widget elementor-widget-heading\" data-id=\"439d9e52\" 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\">Data transformation<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-36237c90 elementor-widget elementor-widget-text-editor\" data-id=\"36237c90\" 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>Once the <a href=\"https:\/\/datascientest.com\/en\/data-warehouse-2\">data is in a centralized data warehous<\/a>e in the cloud, Azure Data Factory allows data teams to process and transform the collected data using Azure Data Factory Data Flows. Data Flows enable data engineers to build and maintain data transformation graphs that<a href=\"https:\/\/datascientest.com\/en\/apache-spark-its-functions-and-benefits\"> run on Spark without needing to understand Spark clusters or Spark programming<\/a>. However, Azure Data Factory also allows you to code these transformations manually if you prefer, and you can run your transformations on compute services like HDInsight <a href=\"https:\/\/datascientest.com\/en\/hadoop-what-is-it\">Hadoop<\/a>, Spark, Data Lake Analytics, and Machine Learning.<\/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-796247cb elementor-widget elementor-widget-heading\" data-id=\"796247cb\" 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\">Data publication and supervision<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-375bf1f5 elementor-widget elementor-widget-text-editor\" data-id=\"375bf1f5\" 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>Next, Azure Data Factory allows you to publish your data. Data Factory fully supports <a href=\"https:\/\/datascientest.com\/en\/all-about-ci-cd\">the continuous integration\/continuous delivery (CI\/CD)<\/a> of <a href=\"https:\/\/datascientest.com\/en\/all-about-data-pipeline\">pipelines<\/a> through tools like Azure DevOps, for example. This enables you to create and develop your ETL processes. Once all your raw data is transformed, you can upload it to other Azure analytics tools so that your colleagues can visualize it, make decisions, monitor data <strong>flows using a rich graphical interface, and take actions.<\/strong> This way, once your data pipelines are created, you can leverage the business value of your data. At this stage, you can monitor the pipelines and access performance metrics or success rates.<\/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-23fe3d63 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"23fe3d63\" 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\">Discover our Courses<\/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<div class=\"elementor-element elementor-element-1a9111b4 elementor-widget elementor-widget-heading\" data-id=\"1a9111b4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Azure Data Factory VS traditional ETL tools<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2b00e012 elementor-widget elementor-widget-text-editor\" data-id=\"2b00e012\" 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>Azure Data Factory is one of the best options when it comes to <strong>building ETL (or ELT) pipelines<\/strong> in the cloud and hybrid environments. Some features distinguish Azure Data Factory from other tools:<\/p><p>1. The ability to run SSIS packages.<br \/>2. Auto-scaling based on the given workload. Azure Data Factory takes this even further by ensuring that its pricing is usage-based. The number of activities (data processing steps) per month and the use of the integration runtime are billed hourly, depending on the machine and the number of nodes used.<br \/>3. Seamless linkage between on-premises systems and Azure cloud through a gateway.<br \/>4. Handling large volumes of data, crucial in the era of Big Data.<br \/>5. The ability to connect and work with other compute services (Azure Batch, HDInsights) to perform truly massive data calculations during ETL.<\/p><p>Finally, one of the significant advantages is its quick and easy integration with other <strong>Azure Compute &amp; Storage resources.<\/strong> There are two types of linked services you can define:<\/p><p>1. A storage service to represent a data store (datamart), including<strong> Azure SQL Database,<\/strong> Azure SQL Data Warehouse, an on-premises database, a Data Lake, a file system, NoSQL DB, etc.<br \/>2. A compute service for transforming and enriching data, such as Azure HDInsight, Azure Machine Learning, stored procedure on any SQL, U-SQL Data Lake Analytics activity, Azure Databricks, and\/or Azure Batch (using a custom activity).<\/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-353d4b00 elementor-widget elementor-widget-text-editor\" data-id=\"353d4b00\" 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 requires software and services that can streamline the processes of cleaning raw data stored in systems into usable data for data teams.<\/p><p>Today, mastering software like <strong>Azure Data Factory<\/strong> is essential for the roles of data engineers and data scientists.<\/p><p>If you want to learn more about these essential data careers, you can explore the Data Engineer training offered by DataScientest,<strong> certified by MINES ParisTech.<\/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-4450da1c elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"4450da1c\" 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-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\">Data Engineer Training<\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>In the age of Big Data, raw data is often disorganized and stored in sometimes disparate systems. When this data is isolated, companies and data teams are unable to make the most of it and derive decisions from it. The Microsoft Azure Data Factory solution is designed to overcome these difficulties and enable this raw [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":171158,"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>Azure Data Factory: what is it and what is it for?<\/title>\n<meta name=\"description\" content=\"Azure Data Factory is a versatile service for handling data integration and data movement tasks, making it a valuable tool for\" \/>\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\/azure-data-factory-what-is-it-and-what-is-it-for\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Azure Data Factory: what is it and what is it for?\" \/>\n<meta property=\"og:description\" content=\"In the age of Big Data, raw data is often disorganized and stored in sometimes disparate systems. 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