Category Archives: Data Science

An introduction to Federated Learning

Categories: Data Science Machine Learning

We’re excited to release Federated Learning, the latest report and prototype from Cloudera Fast Forward Labs. Federated learning makes it possible to build machine learning systems without direct access to training data. The data remains in its original location, which helps to ensure privacy and reduces communication costs. This article is about the business case…

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The Data Science Iron Triangle – Modern BI and Machine Learning

Categories: Data Engineering Data Science Data Warehouse Machine Learning

The New Iron Triangle It is cliché to discuss IT/business solutions as people, process, and technology. Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Since the 1960s, technology has disrupted business through the advent of computing and information management. These systems replaced highly manual operations…

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Introducing Blended Learning From Cloudera University

Categories: Cloudera University Data Science Data Warehouse Enterprise Data Hub Spark

Over the past decade, Cloudera University has taught more than 50,000 developers, administrators, analysts, and data scientists how to apply big data technologies. Developers are learning the APIs, so they can create new applications that were never before possible. Administrators learn to plan, install, monitor, and troubleshoot clusters. And analysts discover the power of SQL over large, diverse datasets. Training sessions are delivered…

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Now Available: Cloudera Data Science Workbench Release 1.4

Categories: Data Engineering Data Science Machine Learning Product

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of…

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