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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    Using Cloudera to Improve Data Processing
    • Thursday, Sep 06 2012
    • File Type: .PDF
    • Category: White Papers, About Cloudera, Document
    Cloudera simplifies data processing, which is critical to supporting everyday operations such as report generation, measuring internal metrics day-to-day, and reporting quarterly financial results.
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    Why Are Financial Services Firms Adopting Cloudera's Big Data Solutions?
    • Thursday, Sep 06 2012
    • File Type: .PDF
    • Category: White Papers, Case Studies, Document
    Cloudera helps financial services companies implement and manage Apache Hadoop so they can derive competitive advantage from big data.
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    What is Data Science?
    • Wednesday, Nov 10 2010
    • File Type: .PDF
    • Category: White Papers, Document, Resource Type
    Understand where data comes from, working with data at scale, making data tell a story (analysis), and data scientists.
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    HADOOP: Scalable, Flexible Data Storage and Analysis
    • Wednesday, May 19 2010
    • File Type: .PDF
    • Category: White Papers, About Hadoop, Document
    The history of Hadoop, an overview of the technology and the kinds of problems Hadoop is ideal for solving.
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    Hadoop and HDFS
    • File Type: .PDF
    • Category: Document, White Papers
    Enterprises are rapidly discovering the power of Apache Hadoop and big data to drive more powerful, data-driven insights and better position their organizations in an increasingly dynamic and competitive economy. Hadoop’s innovation in scalability, cost efficiency, and flexibility affords enterprises an unprecedented ability to handle greater volume, greater velocity, and greater variety of data than traditional data management technologies. For these information-driven enterprises, this next step in the evolution of data management is an enterprise data hub.
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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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    Cloudera Search and the Enterprise Data Hub
    • File Type: .PDF
    • Category: White Papers, Document, Cloudera Enterprise, Data hub, Search optimization
    Cloudera Search plays an important part in realizing an enterprise data hub (EDH) architecture and strategy and serves a multitude of use cases across the organization. Its native integration with Apache Hadoop and its ecosystem is key to future business innovation and insight. Search opens doors to powerful, yet approachable, aggregation and correlation of structured and unstructured data.
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    The Business Value of an Enterprise Data Hub
    • Monday, Feb 10 2014
    • File Type: .PDF
    • Category: Document, White Papers, Cloudera Enterprise, Big Data, Data processing ETL offload, Data warehousing offload, Predictive modeling
    The greatest promise of the information-driven enterprise resides in the vertical-specific questions business leaders have historically been unable or afraid to ask, whether because of a lack of coherence in their data or the prohibitively high cost of specialized tools.