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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    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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    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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    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.
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    2014 Gartner Magic Quadrant for Data Warehouse Database Management Systems
    • Friday, Mar 14 2014
    • Category: Analyst Reports, Data processing ETL offload, Data warehousing offload, Document
    In 2014, traditional data warehouse vendors continue to face the challenge emerging from new processing techniques such as MapReduce/Hadoop distributions. These new techniques are often referred to as "big data solutions" in the popular press, and the continued hype regarding new approaches has continued.
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    Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
    • Thursday, Mar 06 2014
    • Category: Video, Cloudera Enterprise, Recorded Webinars, Data warehousing offload
    Rethink data management and learn how to break down barriers to Big Data insight with Cloudera's enterprise data hub (EDH), Syncsort offload solutions, and Tableau Software visualization and analytics.
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    Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight
    • Thursday, Mar 06 2014
    • Category: Cloudera Enterprise, Recorded Webinars, Data warehousing offload, Presentation Slides
    Rethink data management and learn how to break down barriers to Big Data insight with Cloudera's enterprise data hub (EDH), Syncsort offload solutions, and Tableau Software visualization and analytics.
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    Gartner Report: Extend Your Portfolio of Analytics Capabilities
    • Thursday, Feb 27 2014
    • Category: Predictive modeling, Document, Analyst Reports
    Organizations know there is value in data and analytics, but struggle with understanding the different analytics capabilities they can leverage and when to use them. The answer lies in building a portfolio of analytics capabilities to address the gamut of business needs.
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    Rethink Analytics with an Enterprise Data Hub
    • Thursday, Feb 20 2014
    • Category: 360-degree customer view, Big Data, Data hub, Predictive modeling, Cloudera Enterprise, Video, Recorded Webinars
    Josh Wills and Sandy Lii explain how advanced analytics with an EDH allow you to use all of your data, do more with your data, and deliver insights sooner. This breaks-down the barriers caused by increasingly high data storage and/or processing costs, silo-ed data sources, complex management and security, and lack of analytics agility.
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    Rethink Analytics with an Enterprise Data Hub
    • Thursday, Feb 20 2014
    • Category: 360-degree customer view, Predictive modeling, Big Data, Cloudera Enterprise, Presentation Slides, Recorded Webinars
    Josh Wills and Sandy Lii explain how advanced analytics with an EDH allow you to use all of your data, do more with your data, and deliver insights sooner. This breaks-down the barriers caused by increasingly high data storage and/or processing costs, silo-ed data sources, complex management and security, and lack of analytics agility.