Dataiku announced that it has been certified on Cloudera’s data management platform, Cloudera Enterprise 5. Dataiku’s Predictive Analytics Development Platform, Data Science Studio (DSS), is used collaboratively by data teams around the world – from beginner business analysts to expert data scientists – to rapidly build and run highly specific predictive services that turn raw data into business impacting predictions. Together, Dataiku and Cloudera provide a complete predictive analytics solution that lets DSS users build predictive services on their CDH clusters, quickly.
With DSS, we want to provide data teams with a virtual control room where they can leverage best-of-breed technologies and really make things happen with their data,” said Florian Douetteau, CEO and co-founder of Dataiku. “Certification on Cloudera Enterprise 5 is part of this approach – for enterprises and organizations powered by Cloudera, we’re sure to offer them the tool their data teams need to build their competitive advantages, quickly and efficiently.”
Today, an enterprise data hub from Cloudera is an industry standard for enterprise data storage and management. Thousands of enterprises and organizations around the globe are using Cloudera to process and analyze their data quickly. While DSS has been able to connect to Cloudera since its inception, this certification gives Dataiku’s customers the peace of mind that they need when building their business-critical data and analytics infrastructure. Thanks to this seamless integration, companies can use DSS on Cloudera Enterprise 5 to build their own predictive data flows, from beginning to end, to answer business problems such as churn, fraud, logistics, predictive maintenance, and many more.
Dataiku’s certification of DSS enables our joint customers to quickly and easily build predictive data flows that enable them to gain a competitive advantage and derive business insight,” said Tim Stevens, vice president of Business and Corporate Development at Cloudera.
With an intuitive and collaborative web-based user interface and a completely whitebox approach that integrates standard big data and machine learning technologies that users can transparently appropriate, DSS gives the whole data team the power to get from raw data to prediction, quickly.
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