{"id":33800,"date":"2021-01-20T09:00:24","date_gmt":"2021-01-20T17:00:24","guid":{"rendered":""},"modified":"2024-01-22T22:51:27","modified_gmt":"2024-01-23T06:51:27","slug":"around-the-clock-with-azure-sql-and-azure-data-factory","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/2021\/01\/20\/around-the-clock-with-azure-sql-and-azure-data-factory\/","title":{"rendered":"Around the clock with Azure SQL and Azure Data Factory"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"attachment-large webp-format aligncenter\" src=\"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-1024x576.webp\" alt=\"White text on black background: Data Exposed, Around the Clock with Azure SQL and Azure Data Factory.\" width=\"1024\" height=\"576\" data-orig-srcset=\"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-1536x864.jpg 1536w, https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-330x186.jpg 330w, https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-800x450.jpg 800w, https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-400x225.jpg 400w, https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-235x132.jpg 235w, https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387.jpg 1920w\" data-orig-src=\"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/wp-content\/uploads\/2021\/01\/1387-1024x576.jpg\" \/><\/p>\n<p>On February 3-4, the Azure SQL and Azure Data Factory teams are partnering on a learning event for the community to come together to learn about Azure SQL and Azure Data Factory, meet the engineering teams behind these services, and learn how you can get started with using Azure Data Factory and Azure SQL together.<\/p>\n<p>The digital event occurs across two time zones:<\/p>\n<ul>\n<li>February 3, 2021 9:00 AM to 5:00 PM Pacific Time<\/li>\n<li>February 4, 2021 9:00 AM to 5:00 PM Singapore Time<\/li>\n<\/ul>\n<p><a href=\"https:\/\/aka.ms\/aroundtheclock\" target=\"_blank\" rel=\"noopener\">Register now<\/a> for the free digital event today! We can\u2019t wait to meet everyone at the virtual event.<\/p>\n<h2>Azure SQL and Azure Data Factory<\/h2>\n<p>Many people are familiar with SQL Server and SQL Server Integration Services (SSIS). These are services that global enterprise customers love for all their data and data integration scenarios.<\/p>\n<p>Azure is a great place for SQL Server workloads. The <a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/azure-sql\/\" target=\"_blank\" rel=\"noopener\">Azure SQL family<\/a> of SQL cloud databases provides flexible options for application migration, modernization, and development. The Azure SQL family is comprised of SQL Server on Azure Virtual Machine, Azure SQL Managed Instance, Azure SQL Database, and Azure SQL Edge, all of which are based on the same core SQL Server engine. Migrate your SQL Server workloads to Azure SQL and improve your total cost of ownership (TCO), accelerate your time to market, and operate more efficiently.<\/p>\n<p>Azure Data Factory is a fully managed, serverless data integration solution for ingesting, preparing, and transforming all your data at scale. In addition, you can re-host your SSIS packages using Azure Data Factory, enabling you to realize significant costs savings. Azure Data Factory enables you to bring data from diverse and multiple data sources to Azure SQL and more.<\/p>\n<p>At the digital event, occurring around the clock, you will meet and interact live with many members of the Microsoft Azure Data product group including industry experts Bob Ward, Buck Woody, Davide Mauri, Julie Koesmarno, Silvano Coriani, Mara-Florina Steiu, Arvind Shyamsundar, Anna Hoffman, Srini Acharya, Drew Skwiers-Koballa, Andreas Wolter, Mark Kromer, Sandy Winarko, Wee Hyong Tok, Ye Xu, Abhishek Narain, Linda Wang, Shirley Wang and more!<\/p>\n<h2>Data Exposed special<\/h2>\n<p>Data Exposed Live is coming to you on all major streaming platforms, namely <a href=\"https:\/\/aka.ms\/learntv\" target=\"_blank\" rel=\"noopener\">Learn TV<\/a>, Microsoft\u2019s around the clock, free channel. The show, hosted by Anna Hoffman, airs live every Wednesday at 9:00 AM PT.<\/p>\n<p>This digital event is a Data Exposed Special\u2014kicking off with a special episode of Data Exposed Live at 9:00 AM PT. The event is packed with an exciting agenda, which also includes two Ask the Experts sessions.<\/p>\n<p>We are looking forward to meeting the Azure SQL and Azure Data Factory community.<br \/>\n<a href=\"https:\/\/aka.ms\/aroundtheclock\" target=\"_blank\" rel=\"noopener\">Register now<\/a> for the free digital event today! We can\u2019t wait to meet everyone.<\/p>\n<p>Register today to:<\/p>\n<ul>\n<li>Learn about everything you need to know about Azure SQL and Azure Data Factory. From creating the right data architecture to the future of cloud migration, to deep dives into performance tuning, and more.<\/li>\n<li>Connect with Azure SQL and Azure Data Factory industry experts and get live answers to your questions.<\/li>\n<li>Participate in a global hackathon that runs through the week.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>On February 3-4, the Azure SQL and Azure Data Factory teams are partnering on a learning event for the community to come together to learn about Azure SQL and Azure Data Factory, meet the engineering teams behind these services, and learn how you can get started with using Azure Data Factory and Azure SQL together.<\/p>\n","protected":false},"author":1457,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","footnotes":""},"post_tag":[],"product":[],"content-type":[2433],"topic":[],"coauthors":[2487],"class_list":["post-33800","post","type-post","status-publish","format-standard","hentry","content-type-events","review-flag-3-1593580441-293","review-flag-4-1593580446-456","review-flag-5-1593580452-31","review-flag-9-1593580472-173","review-flag-free-1593619513-128"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Around the clock with Azure SQL and Azure Data Factory - Microsoft SQL Server Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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