Resource Library

Cloudera offers a variety of materials on big data consolidation, storage and processing. The library includes high-level overviews as well as detailed information on Apache Hadoop and the surrounding ecosystem.

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    Building a Hadoop Data Warehouse: Hadoop 101 for EDW Professionals
    • Wednesday, Apr 02 2014
    • Category: Data processing ETL offload, Data warehousing offload, Presentation Slides
    Dr. Ralph Kimball explains how Hadoop can be both a destination data warehouse, and also an efficient staging and ETL source for an existing data warehouse. Learn how enterprise conformed dimensions can be used as the basis for integrating Hadoop and conventional data warehouses.
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    Building a Hadoop Data Warehouse: Hadoop 101 for EDW Professionals
    • Wednesday, Apr 02 2014
    • Category: Data processing ETL offload, Data warehousing offload, Video, Recorded Webinars
    Dr. Ralph Kimball explains how Hadoop can be both a destination data warehouse, and also an efficient staging and ETL source for an existing data warehouse. Learn how enterprise conformed dimensions can be used as the basis for integrating Hadoop and conventional data warehouses.
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    The Benefits of Predictive and Proactive Support for an Enterprise Data Hub
    • Thursday, Mar 27 2014
    • Category: Recorded Webinars, About Cloudera, Video, Presentation, Cloudera Professional Support, Hadoop Services
    Learn how Cloudera helps eliminate known issues and avoid common cluster misconfigurations, guides better utilization of the EDH according to comparative analysis, and ensures enterprises optimize support resources for faster issue resolution.
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    The Benefits of Predictive and Proactive Support for an Enterprise Data Hub
    • Thursday, Mar 27 2014
    • Category: About Cloudera, Presentation, Cloudera Professional Support, Hadoop Services, Presentation Slides
    Learn how Cloudera helps eliminate known issues and avoid common cluster misconfigurations, guides better utilization of the EDH according to comparative analysis, and ensures enterprises optimize support resources for faster issue resolution.
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    Cloudera's funding floats M&A potential
    • Monday, Mar 24 2014
    • File Type: .PDF
    • Category: Document, Analyst Reports
    Cloudera no longer needs to plan for an IPO to raise financing, having announced a $160m series F round that brought its total funding to $300m.
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    Cloudera prepares for acquisitions following $160m funding round
    • Monday, Mar 24 2014
    • File Type: .PDF
    • Category: Document, Analyst Reports
    Cloudera no longer needs to plan for an IPO to raise financing, having announced a $160m series F round that brought its total funding to $300m.
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    Evaluating Hardware Platforms for Cloudera
    • Thursday, Mar 20 2014
    • File Type: .PDF
    • Category: Document, White Papers
    An enterprise data hub (EDH) brings to enterprise IT teams a range of capability and efficiency, and these qualities also extend to deployment and operations, from on-premise to public cloud. Cloudera strives to make its software available to enterprises in as many form factors as possible from as many technology partners as possible.
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    Cloudera in the Public Cloud
    • Thursday, Mar 20 2014
    • File Type: .PDF
    • Category: Document, White Papers
    Enterprises need to consider multiple factors when deciding to deploy an EDH to the cloud, on-premise, and everywhere in between. This paper looks at these options, common architectures, and best practices and examines Cloudera's capabilities and unique advantages for cloud deployments.
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    Multitenancy and the Enterprise Data Hub
    • Thursday, Mar 20 2014
    • File Type: .PDF
    • Category: Cloudera Enterprise, Document, White Papers
    Best practices and architectures for multiple services and user communities in Apache Hadoop
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    Design Patterns for Large-Scale Real-Time Learning
    • Wednesday, Mar 19 2014
    • Category: Recorded Webinars, Video
    Building a production-ready large-scale operational analytics system remains a difficult and ad-hoc endeavor, especially when real-time answers are required. Design patterns for effective implementations are emerging, which take advantage of relaxed assumptions, adopt a new tiered "lambda" architecture, and pick the right scale-friendly algorithms to succeed. Drawing on experience from customer problems, this session presents a reference architecture and algorithm design choices for a successful implementation.