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Modern Cloud platforms have proven to be powerful enablers for businesses looking to develop an efficient and scalable analytics infrastructure. By themselves, most Cloud platforms can provide adequate support for basic analytics work, but their capabilities and performance can start to fail when Big Data is introduced.
For companies on Microsoft Azure, Kyligence makes it possible to fully embrace Big Data analytics on the Cloud while accelerating performance with near-limitless scalability.
Kyligence's Augmented OLAP platform works seamlessly with all Microsoft business intelligence (BI) and Cloud technologies, meaning analysts can simplify their workflows on the Cloud while enjoying lightning-fast, self-service data analytics capabilities powered by a live connection to Azure HDInsight or Azure Data Lakes.
Additionally, Kyligence allows IT and data engineering teams to centralize their analytics environment for easier Cloud and BI tool management, further reducing demands on their time and limited resources. Businesses with Kyligence on Azure also get:
Learn how Kyligence delivers all of these benefits and much more to your Cloud infrastructure with this case study for Microsoft Azure customers.
Whether you're still planning on how to transition your on-premises analytics infrastructure to the Cloud or are looking to upgrade your Azure Cloud environment to handle massive datasets, Kyligence has a solution that can help your company succeed in all of your Big Data initiatives.
See for yourself how Kyligence enables more sophisticated work on the Cloud with this case study for Microsoft Azure customers, it's perfect if you currently face challenges related to:
Get started today with the Augmented OLAP approach to Microsoft Big Data analytics on the Cloud that 1,000s of organizations worldwide have already made the switch to. Download now!
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