Category Archives: Enterprise Data Hub

Building an Open Data Processing Pipeline for IoT

Categories: Enterprise Data Hub IoT / Connected Products

Authors: David Bericat, Global Technical Lead, Internet of Things, Red Hat and Jonathan Cooper-Ellis, Solutions Architect, Cloudera Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application…

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Introducing Cloudera Enterprise 6.0

Categories: Enterprise Data Hub Product

Digital technologies are changing business models, reshaping how companies go-to-market, win new customers and drive new revenue-producing opportunities. Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. Cloud service architecture – storing and accessing data…

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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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Turning petabytes of pharmaceutical data into actionable insights

Categories: Data Engineering Enterprise Data Hub General Open Source Software Operational Database

Authors: Mai N. Nguyen, Accenture & Mitch Gomulinski, Cloudera Imagine storing the DNA of the entire population of the US – and then cloning them, twice. That’s the equivalent of 1 petabyte (ComputerWeekly) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that…

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