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Talend Accelerates Big Data Pipeline Development for Microsoft Azure

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by Angela Guess

According to a new press release, “Talend, a global leader in cloud and big data integration solutions, today unveiled a new set of connectors for the Talend Data Fabric platform that helps customers rapidly migrate enterprise-wide data sources to Microsoft Azure to build more intelligent and scalable cloud data pipelines for real-time analytics. ‘Today’s companies understand cloud technology is becoming the new growth engine for their business and are eager to bridge legacy, on-premises data with the new world of cloud-powered big data lakes,’ said Ashley Stirrup, CMO, Talend. ‘Teaming with Microsoft allows us to deliver a complete solution for scaling big data workloads in the cloud. While other data integration solutions only connect with a few data sources, our Summer ‘17 release of Talend Data Fabric includes in-depth, native functionality to help customers quickly migrate a broad range of on-premise data sources to the Azure cloud and optimize cloud data pipelines, speeding time to insight’.”

The release continues, “Research by Gartner indicates ‘many enterprise IT departments, both large and small, are embarking on cloud implementation strategies; however, the results of these efforts are not necessarily increasing the competitiveness of these organizations, at least in terms of publicly available cloud services.’ Rather, many organizations are dramatically underestimating the scope and pace at which their technology stacks are changing in the multi-cloud era and the impact it is having on both IT operations and overall ability to meet increasing business requirements. Talend’s new set of connectors for Microsoft Azure SQL Data Warehouse, SQL Database, Azure CosmosDB, Data Lake Store, Queue Storage, and Table Storage deliver business agility by enabling customers to rapidly integrate, analyze and stream big data in the cloud to fuel innovation and gain a competitive edge.”

Read more at Business Wire.

Photo credit: Talend

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