{"id":3941,"date":"2023-11-04T23:13:57","date_gmt":"2023-11-04T23:13:57","guid":{"rendered":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/"},"modified":"2023-11-05T05:48:26","modified_gmt":"2023-11-05T05:48:26","slug":"introduction-to-azure-data-factory","status":"publish","type":"post","link":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/","title":{"rendered":"Introduction to Azure Data Factory"},"content":{"rendered":"<p>Azure Data Factory is a cloud-based data integration service that enables you to create, schedule, and manage data pipelines. With Azure Data Factory, you can ingest data from various sources, transform and shape the data, and then store it in various destinations.<\/p>\n<p>In this tutorial, you will learn how to create a basic data pipeline using Azure Data Factory.<\/p>\n<h2>Prerequisites<\/h2>\n<p>Before you begin, make sure you have the following:<\/p>\n<ul>\n<li>An Azure account<\/li>\n<li>Basic knowledge of Azure services, such as Azure Blob Storage and Azure SQL Database<\/li>\n<li>A source dataset and destination dataset for your pipeline<\/li>\n<\/ul>\n<h2>Creating a Data Factory<\/h2>\n<p>The first step is to create an Azure Data Factory. To do this, follow these steps:<\/p>\n<ol>\n<li>Log in to your Azure portal and click on the <strong>Create a resource<\/strong> button.<\/li>\n<li>Search for <strong>Data Factory<\/strong> and click on <strong>Create<\/strong>.<\/li>\n<li>Fill out the necessary details, such as the name, subscription, resource group, and region.<\/li>\n<li>Click on <strong>Review + Create<\/strong> and then <strong>Create<\/strong> to create the Data Factory.<\/li>\n<\/ol>\n<p>Once the Data Factory is created, you will see it in your Azure portal.<\/p>\n<h2>Creating Linked Services<\/h2>\n<p>The next step is to create Linked Services. A Linked Service is a connection to an external data source or destination that can be used by a pipeline. To create a Linked Service, follow these steps:<\/p>\n<ol>\n<li>Click on your Data Factory in the Azure portal and navigate to the <strong>Author &amp; Monitor<\/strong> tab.<\/li>\n<li>Click on the <strong>Connections<\/strong> tab and then <strong>New<\/strong> to create a new Linked Service.<\/li>\n<li>Select the type of Linked Service you want to create, such as <strong>Azure Blob Storage<\/strong> or <strong>Azure SQL Database<\/strong>.<\/li>\n<li>Fill out the necessary details, such as the connection string or authentication method.<\/li>\n<li>Click on <strong>Test Connection<\/strong> to make sure the connection is working.<\/li>\n<li>Click on <strong>Create<\/strong> to create the Linked Service.<\/li>\n<\/ol>\n<p>Repeat this process for each external data source or destination that you want to use in your pipeline.<\/p>\n<h2>Creating Datasets<\/h2>\n<p>After creating Linked Services, you can create Datasets. A Dataset represents a data structure in a data store that the pipeline can interact with. To create a Dataset, follow these steps:<\/p>\n<ol>\n<li>Click on your Data Factory in the Azure portal and navigate to the <strong>Author &amp; Monitor<\/strong> tab.<\/li>\n<li>Click on the <strong>Connections<\/strong> tab and then select the Linked Service you want to create a Dataset for.<\/li>\n<li>Click on <strong>New Dataset<\/strong> to create a new Dataset.<\/li>\n<li>Select the type of Dataset you want to create, such as <strong>Azure Blob Storage<\/strong> or <strong>Azure SQL Database<\/strong>.<\/li>\n<li>Fill out the necessary details, such as the table or file path.<\/li>\n<li>Click on <strong>Validate<\/strong> to make sure the Dataset is valid.<\/li>\n<li>Click on <strong>Create<\/strong> to create the Dataset.<\/li>\n<\/ol>\n<p>Repeat this process for each data structure that you want to interact with in your pipeline.<\/p>\n<h2>Creating a Pipeline<\/h2>\n<p>Now that you have created Linked Services and Datasets, you can create a Pipeline. A Pipeline is a logical grouping of activities that together perform a task. To create a Pipeline, follow these steps:<\/p>\n<ol>\n<li>Click on your Data Factory in the Azure portal and navigate to the <strong>Author &amp; Monitor<\/strong> tab.<\/li>\n<li>Click on <strong>New Pipeline<\/strong> to create a new Pipeline.<\/li>\n<li>Give your Pipeline a name and click on <strong>Create<\/strong>.<\/li>\n<li>Drag the source Dataset from the left-hand side to the Pipeline canvas.<\/li>\n<li>Drag the destination Dataset from the left-hand side to the Pipeline canvas.<\/li>\n<li>Click on the <strong>+<\/strong> button between the two Datasets to add an activity.<\/li>\n<li>Select the type of activity you want to perform, such as <strong>Copy Data<\/strong> or <strong>Execute SQL<\/strong>.<\/li>\n<li>Fill out the necessary details for the activity, such as the source and destination Dataset for a Copy Data activity.<\/li>\n<li>Click on the activity to configure any additional settings, such as filters or mappings.<\/li>\n<li>Click on <strong>Publish All<\/strong> to publish the Pipeline.<\/li>\n<\/ol>\n<p>Now that the Pipeline is published, you can monitor its progress and troubleshoot any errors in the Azure portal.<\/p>\n<h2>Conclusion<\/h2>\n<p>In this tutorial, you learned how to create a basic data pipeline using Azure Data Factory. You learned how to create Linked Services to connect to external data sources and destinations, how to create Datasets to interact with data structures in those sources and destinations, and how to create a Pipeline to group activities together to perform a task.<\/p>\n<p>Azure Data Factory provides a powerful set of tools to ingest, transform, and store data in the cloud, and with a little practice and experimentation, you can create complex data pipelines that automate your data integration tasks.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Azure Data Factory is a cloud-based data integration service that enables you to create, schedule, and manage data pipelines. With Azure Data Factory, you can ingest data from various sources, transform and shape the data, and then store it in various destinations. In this tutorial, you will learn how to <a href=\"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/\" class=\"btn btn-link continue-link\">Continue Reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[387,30,469,467,468,95,212,466],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Introduction to Azure Data Factory - Pantherax Blogs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Introduction to Azure Data Factory\" \/>\n<meta property=\"og:description\" content=\"Azure Data Factory is a cloud-based data integration service that enables you to create, schedule, and manage data pipelines. With Azure Data Factory, you can ingest data from various sources, transform and shape the data, and then store it in various destinations. In this tutorial, you will learn how to Continue Reading\" \/>\n<meta property=\"og:url\" content=\"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/\" \/>\n<meta property=\"og:site_name\" content=\"Pantherax Blogs\" \/>\n<meta property=\"article:published_time\" content=\"2023-11-04T23:13:57+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-05T05:48:26+00:00\" \/>\n<meta name=\"author\" content=\"Panther\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Panther\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\n\t    \"@context\": \"https:\/\/schema.org\",\n\t    \"@graph\": [\n\t        {\n\t            \"@type\": \"Article\",\n\t            \"@id\": \"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/#article\",\n\t            \"isPartOf\": {\n\t                \"@id\": \"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/\"\n\t            },\n\t            \"author\": {\n\t                \"name\": \"Panther\",\n\t                \"@id\": \"http:\/\/localhost:10003\/#\/schema\/person\/b63d816f4964b163e53cbbcffaa0f3d7\"\n\t            },\n\t            \"headline\": \"Introduction to Azure Data Factory\",\n\t            \"datePublished\": \"2023-11-04T23:13:57+00:00\",\n\t            \"dateModified\": \"2023-11-05T05:48:26+00:00\",\n\t            \"mainEntityOfPage\": {\n\t                \"@id\": \"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/\"\n\t            },\n\t            \"wordCount\": 743,\n\t            \"publisher\": {\n\t                \"@id\": \"http:\/\/localhost:10003\/#organization\"\n\t            },\n\t            \"keywords\": [\n\t                \"\\\"big data\\\"\",\n\t                \"\\\"cloud computing\\\"\",\n\t                \"\\\"cloud-based data management\\\"]\",\n\t                \"\\\"data integration\\\"\",\n\t                \"\\\"data pipeline\\\"\",\n\t                \"\\\"data processing\\\"\",\n\t                \"\\\"Microsoft Azure\\\"\",\n\t                \"[\\\"Introduction to Azure Data Factory\\\"\"\n\t            ],\n\t            \"inLanguage\": \"en-US\"\n\t        },\n\t        {\n\t            \"@type\": \"WebPage\",\n\t            \"@id\": \"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/\",\n\t            \"url\": \"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/\",\n\t            \"name\": \"Introduction to Azure Data Factory - Pantherax Blogs\",\n\t            \"isPartOf\": {\n\t                \"@id\": \"http:\/\/localhost:10003\/#website\"\n\t            },\n\t            \"datePublished\": \"2023-11-04T23:13:57+00:00\",\n\t            \"dateModified\": \"2023-11-05T05:48:26+00:00\",\n\t            \"breadcrumb\": {\n\t                \"@id\": \"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/#breadcrumb\"\n\t            },\n\t            \"inLanguage\": \"en-US\",\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"ReadAction\",\n\t                    \"target\": [\n\t                        \"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/\"\n\t                    ]\n\t                }\n\t            ]\n\t        },\n\t        {\n\t            \"@type\": \"BreadcrumbList\",\n\t            \"@id\": \"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/#breadcrumb\",\n\t            \"itemListElement\": [\n\t                {\n\t                    \"@type\": \"ListItem\",\n\t                    \"position\": 1,\n\t                    \"name\": \"Home\",\n\t                    \"item\": \"http:\/\/localhost:10003\/\"\n\t                },\n\t                {\n\t                    \"@type\": \"ListItem\",\n\t                    \"position\": 2,\n\t                    \"name\": \"Introduction to Azure Data Factory\"\n\t                }\n\t            ]\n\t        },\n\t        {\n\t            \"@type\": \"WebSite\",\n\t            \"@id\": \"http:\/\/localhost:10003\/#website\",\n\t            \"url\": \"http:\/\/localhost:10003\/\",\n\t            \"name\": \"Pantherax Blogs\",\n\t            \"description\": \"\",\n\t            \"publisher\": {\n\t                \"@id\": \"http:\/\/localhost:10003\/#organization\"\n\t            },\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"SearchAction\",\n\t                    \"target\": {\n\t                        \"@type\": \"EntryPoint\",\n\t                        \"urlTemplate\": \"http:\/\/localhost:10003\/?s={search_term_string}\"\n\t                    },\n\t                    \"query-input\": \"required name=search_term_string\"\n\t                }\n\t            ],\n\t            \"inLanguage\": \"en-US\"\n\t        },\n\t        {\n\t            \"@type\": \"Organization\",\n\t            \"@id\": \"http:\/\/localhost:10003\/#organization\",\n\t            \"name\": \"Pantherax Blogs\",\n\t            \"url\": \"http:\/\/localhost:10003\/\",\n\t            \"logo\": {\n\t                \"@type\": \"ImageObject\",\n\t                \"inLanguage\": \"en-US\",\n\t                \"@id\": \"http:\/\/localhost:10003\/#\/schema\/logo\/image\/\",\n\t                \"url\": \"http:\/\/localhost:10003\/wp-content\/uploads\/2023\/11\/cropped-9e7721cb-2d62-4f72-ab7f-7d1d8db89226.jpeg\",\n\t                \"contentUrl\": \"http:\/\/localhost:10003\/wp-content\/uploads\/2023\/11\/cropped-9e7721cb-2d62-4f72-ab7f-7d1d8db89226.jpeg\",\n\t                \"width\": 1024,\n\t                \"height\": 1024,\n\t                \"caption\": \"Pantherax Blogs\"\n\t            },\n\t            \"image\": {\n\t                \"@id\": \"http:\/\/localhost:10003\/#\/schema\/logo\/image\/\"\n\t            }\n\t        },\n\t        {\n\t            \"@type\": \"Person\",\n\t            \"@id\": \"http:\/\/localhost:10003\/#\/schema\/person\/b63d816f4964b163e53cbbcffaa0f3d7\",\n\t            \"name\": \"Panther\",\n\t            \"image\": {\n\t                \"@type\": \"ImageObject\",\n\t                \"inLanguage\": \"en-US\",\n\t                \"@id\": \"http:\/\/localhost:10003\/#\/schema\/person\/image\/\",\n\t                \"url\": \"http:\/\/2.gravatar.com\/avatar\/b8c0eda5a49f8f31ec32d0a0f9d6f838?s=96&d=mm&r=g\",\n\t                \"contentUrl\": \"http:\/\/2.gravatar.com\/avatar\/b8c0eda5a49f8f31ec32d0a0f9d6f838?s=96&d=mm&r=g\",\n\t                \"caption\": \"Panther\"\n\t            },\n\t            \"sameAs\": [\n\t                \"http:\/\/localhost:10003\"\n\t            ],\n\t            \"url\": \"http:\/\/localhost:10003\/author\/pepethefrog\/\"\n\t        }\n\t    ]\n\t}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Introduction to Azure Data Factory - Pantherax Blogs","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/","og_locale":"en_US","og_type":"article","og_title":"Introduction to Azure Data Factory","og_description":"Azure Data Factory is a cloud-based data integration service that enables you to create, schedule, and manage data pipelines. With Azure Data Factory, you can ingest data from various sources, transform and shape the data, and then store it in various destinations. In this tutorial, you will learn how to Continue Reading","og_url":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/","og_site_name":"Pantherax Blogs","article_published_time":"2023-11-04T23:13:57+00:00","article_modified_time":"2023-11-05T05:48:26+00:00","author":"Panther","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Panther","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/#article","isPartOf":{"@id":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/"},"author":{"name":"Panther","@id":"http:\/\/localhost:10003\/#\/schema\/person\/b63d816f4964b163e53cbbcffaa0f3d7"},"headline":"Introduction to Azure Data Factory","datePublished":"2023-11-04T23:13:57+00:00","dateModified":"2023-11-05T05:48:26+00:00","mainEntityOfPage":{"@id":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/"},"wordCount":743,"publisher":{"@id":"http:\/\/localhost:10003\/#organization"},"keywords":["\"big data\"","\"cloud computing\"","\"cloud-based data management\"]","\"data integration\"","\"data pipeline\"","\"data processing\"","\"Microsoft Azure\"","[\"Introduction to Azure Data Factory\""],"inLanguage":"en-US"},{"@type":"WebPage","@id":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/","url":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/","name":"Introduction to Azure Data Factory - Pantherax Blogs","isPartOf":{"@id":"http:\/\/localhost:10003\/#website"},"datePublished":"2023-11-04T23:13:57+00:00","dateModified":"2023-11-05T05:48:26+00:00","breadcrumb":{"@id":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["http:\/\/localhost:10003\/introduction-to-azure-data-factory\/"]}]},{"@type":"BreadcrumbList","@id":"http:\/\/localhost:10003\/introduction-to-azure-data-factory\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"http:\/\/localhost:10003\/"},{"@type":"ListItem","position":2,"name":"Introduction to Azure Data Factory"}]},{"@type":"WebSite","@id":"http:\/\/localhost:10003\/#website","url":"http:\/\/localhost:10003\/","name":"Pantherax Blogs","description":"","publisher":{"@id":"http:\/\/localhost:10003\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"http:\/\/localhost:10003\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"http:\/\/localhost:10003\/#organization","name":"Pantherax Blogs","url":"http:\/\/localhost:10003\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"http:\/\/localhost:10003\/#\/schema\/logo\/image\/","url":"http:\/\/localhost:10003\/wp-content\/uploads\/2023\/11\/cropped-9e7721cb-2d62-4f72-ab7f-7d1d8db89226.jpeg","contentUrl":"http:\/\/localhost:10003\/wp-content\/uploads\/2023\/11\/cropped-9e7721cb-2d62-4f72-ab7f-7d1d8db89226.jpeg","width":1024,"height":1024,"caption":"Pantherax Blogs"},"image":{"@id":"http:\/\/localhost:10003\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"http:\/\/localhost:10003\/#\/schema\/person\/b63d816f4964b163e53cbbcffaa0f3d7","name":"Panther","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"http:\/\/localhost:10003\/#\/schema\/person\/image\/","url":"http:\/\/2.gravatar.com\/avatar\/b8c0eda5a49f8f31ec32d0a0f9d6f838?s=96&d=mm&r=g","contentUrl":"http:\/\/2.gravatar.com\/avatar\/b8c0eda5a49f8f31ec32d0a0f9d6f838?s=96&d=mm&r=g","caption":"Panther"},"sameAs":["http:\/\/localhost:10003"],"url":"http:\/\/localhost:10003\/author\/pepethefrog\/"}]}},"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/localhost:10003\/wp-json\/wp\/v2\/posts\/3941"}],"collection":[{"href":"http:\/\/localhost:10003\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/localhost:10003\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/localhost:10003\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/localhost:10003\/wp-json\/wp\/v2\/comments?post=3941"}],"version-history":[{"count":1,"href":"http:\/\/localhost:10003\/wp-json\/wp\/v2\/posts\/3941\/revisions"}],"predecessor-version":[{"id":4577,"href":"http:\/\/localhost:10003\/wp-json\/wp\/v2\/posts\/3941\/revisions\/4577"}],"wp:attachment":[{"href":"http:\/\/localhost:10003\/wp-json\/wp\/v2\/media?parent=3941"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/localhost:10003\/wp-json\/wp\/v2\/categories?post=3941"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/localhost:10003\/wp-json\/wp\/v2\/tags?post=3941"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}