{"id":1574,"date":"2019-03-13T00:00:00","date_gmt":"2019-03-13T00:00:00","guid":{"rendered":"https:\/\/azure.microsoft.com\/blog\/spinning-up-cloud-scale-analytics-is-even-more-compelling-with-talend-and-microsoft"},"modified":"2025-06-18T04:50:39","modified_gmt":"2025-06-18T11:50:39","slug":"spinning-up-cloud-scale-analytics-is-even-more-compelling-with-talend-and-microsoft","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/spinning-up-cloud-scale-analytics-is-even-more-compelling-with-talend-and-microsoft\/","title":{"rendered":"Spinning up cloud-scale analytics is even more compelling with Talend and Microsoft"},"content":{"rendered":"\n

Special thanks to Lee Schlesinger and the Talend team for their contribution to this blog post.<\/em><\/p>\n\n\n\n

Following the significant announcement around the continued price-performance leadership of Azure Data Warehouse<\/a> in February 2019, Talend announced support of Stitch Data Loader<\/a> for Azure SQL Data Warehouse. Stitch Data Loader is Talend’s recent addition to its offering portfolio small and mid-market customers. With Stitch Data Loader, customers can load 5 million rows\/month into Azure SQL Data Warehouse for free or scale up to an unlimited number of rows with a subscription.<\/p>\n\n\n\n

All across the industry, there is a rapid shift to the cloud. Utilizing fast, flexible, and secure cloud data warehouse is an important first step in that journey. With Microsoft Azure SQL Data Warehouse and Stitch Data Loader companies can get started faster than ever. The fact that ADW can be up to 14x faster, and 94 percent<\/a> less expensive than similar options in the marketplace, should only help further accelerate adoption of cloud scale analytics by customers of all sizes.<\/p>\n\n\n\n

Building pipelines to the cloud with Stitch Data Loader<\/h2>\n\n\n\n

The Stitch team built the Azure SQL Data Warehouse integration with the help of Microsoft engineers. The solution leverages Azure Blob Storage and PolyBase to get data into the Azure cloud and ultimately loaded to SQL Data Warehouse. We take care of all issues with data type transformation between source and destination, schema changes, and bulk loading.<\/p>\n\n\n\n

To start moving data, just specify your host address and database name and provide authentication credentials. Stitch will then start loading data from all of your sources in minutes.<\/p>\n\n\n\n

Stitch Data Loader enables Azure SQL Data Warehouse users to analyze data from more than 90 data sources, including databases, SaaS tools, and ad networks. We also sponsor and integrate with the Singer<\/a> open source ETL project, which makes it easy to get additional or custom data sources into Azure SQL Data Warehouse.<\/p>\n\n\n\n

Stitch\u2019s destination switching<\/a> feature also makes it easy for existing Stitch users to take their existing integrations and start loading them into Azure SQL Data Warehouse right away.<\/p>\n\n\n\n

Going further with Talend Cloud and Azure SQL Data Warehouse<\/h2>\n\n\n\n

What if you\u2019re ready to scale out your data warehousing efforts and layer on data transformation, profiling, and quality? Talend Cloud<\/a> offers many more sources as well as more advanced data processing and data quality features that are available within the ADW and the Azure Platform. With over 900 connectors available, you\u2019ll be able to move all your data, no matter the format or source. With data preparation and additional security features built-in, you can get Azure-ready in no time.<\/p>\n\n\n\n

Take Uniper for instance<\/a>. Using Azure and Talend Cloud, they built a cloud-based data analytics platform to integrate over 100 data sources including temperature and IoT sensors, from various external and internal sources. They constructed the full flow of business transactions \u2014 spanning market analytics, trading, asset management, and post-trading \u2014 while enabling data governance and self-service, resulting in reduced integration costs by 80 percent and achieving ROI in 6 months.<\/p>\n\n\n\n

What\u2019s next?<\/h2>\n\n\n\n