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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    TDWI Best Practices Report:
    Integrating Hadoop into Business Intelligence and Data Warehousing
    • Monday, Apr 01 2013
    • File Type: .PDF
    • Category: White Papers, Analyst Reports, apache hadoop, Data processing ETL offload, Data warehousing offload, Analytics & Business Intelligence
    Hadoop promises to assist with the toughest challenges in BI today, including big data, advanced analytics, and multi-structured data. Download this TDWI Best Practices Report to learn how to integrate Hadoop into your business intelligence, analytics, data integration, and data warehousing technology stacks.
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    The Platform for Big Data
    • Wednesday, Mar 06 2013
    • File Type: .PDF
    • Category: White Papers, Document
    This whitepaper speaks to how the modern era of Big Data, with Hadoop at it's center, threatens to upend the status quo across organizations from the data center to the boardroom.
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    Ask Bigger Questions: A Round Table Discussion
    • Sunday, Oct 21 2012
    • File Type: .PDF
    • Category: Document, White Papers
    In this exclusive conversation, the technical leaders of Cloudera discuss the definition, origins, and future of Big Data and Apache Hadoop — and their value for business and humankind.
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    Ten Common Hadoopable Problems: Real-World Hadoop Use Cases
    • Friday, Sep 21 2012
    • File Type: .PDF
    • Category: Document, White Papers, Case Studies, 360-degree customer view, Business process optimization, Data processing ETL offload, Data warehousing offload, Predictive modeling, Time series analysis, Telemetry, Data hub
    Ten real-world Hadoop use cases that may apply directly to your business. This is only a small sample of the ways that companies are using Hadoop today.
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    CDH & Enterprise Security
    • Monday, Sep 17 2012
    • File Type: .PDF
    • Category: White Papers, About Cloudera, CDH, Document
    Understand the security models available in CDH and the related components required to deploy and maintain a secure CDH environment.
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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.