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Follow on Google News | ![]() WHISHWORKS partners with Microsoft AzureWHISHWORKS partners with Microsoft Azure to architect and deliver scalable, on-demand, advanced analytics solutions using the Microsoft Azure Analytics and Big Data stack.
By: WHISHWORKS WHISHWORKS has a long tradition of working with leading big data and analytics platforms. As cloud computing becomes increasingly paramount for customers looking to drive their business forward without the constraints of having to build and maintain their own computing infrastructure, the partnership with Microsoft Azure came as a natural solution. WHISHWORKS certified consultants have the experience and the skills to help architect, setup, configure and support their projects on Azure. "Microsoft Azure is one of the most tested and mature options in the market offering the freedom to build, manage and deploy applications on a massive, global network and a natural fit to our big data and analytics portfolio of services," said Suman Konkumalla, Chief Strategy Officer at WHISHWORKS. "One of the key reasons however that we chose Microsoft Azure is its HDInsight service that enables to easily run popular open source frameworks, including Apache Hadoop, Spark, and Kafka. With many of our customers looking to move from Hadoop-powered on premise environments to the cloud, HDInsight allows to smoothly migrate projects to the cloud." WHISHWORKS will be working with existing and new customers who want to build or migrate their applications to Microsoft Azure ensuring fast deployment whilst applying governance and best practice from end-to finish. About WHISHWORKS [https://www.whishworks.com] WHISHWORKS is a global IT services and consulting company, specializing in systems integration and Big Data since 2008. The company works with an ecosystem of systems integration and Big Data partners, including MuleSoft, Azure, MapR and Cloudera, to develop leading solutions that enable digital transformation. Over the years WHISHWORKS has helped hundreds of businesses access, control and monetize their data, becoming the partner of choice for data-driven organisations. End
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