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Cloudera Puffs Up Analytics Database For Clouds

Submitted by on December 4, 2017 – 10:21 pmNo Comment

In many ways, public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform can be the great equalizers, giving enterprises access to computing and storage resources that they may not have the money to be able to bring into their on-premises environments. Given the new compute-intensive workloads like data analytics and machine learning, and the benefits they can bring to modern businesses, this access to cloud-based platforms is increasingly critical to large enterprises.


Cloudera for several years has been pushing its software offerings – such as Data Science Workbench, Analytic DB, Operational DB, and Enterprise Data Hub – as a platform for machine learning and analytics workloads. In May, the company introduced Altus, a platform-as-a-service (PaaS) offering hosted on AWS that gives customers access to Cloudera services, which have since its founding as the dominant Hadoop distributor enabled enterprises to gain more insight and value from the massive amount of data that they are generate and gather.

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