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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    Delivering 300% Better Marketing Campaign Performance with Big Data Expertise
    • Friday, Dec 21 2012
    • File Type: .PDF
    • Category: Document, Case Studies, Data hub, Data processing ETL offload, Data warehousing offload
    The company collects data and feedback from all digital events pertaining to online advertising campaigns and streams it into a Hadoop-based learning system that was built from scratch to processes real-time data extract, transform, and load (ETL), sort data by user, and build media buying algorithms.
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    Rapleaf Works Smarter with Cloudera
    • Thursday, Dec 13 2012
    • File Type: .PDF
    • Category: Document, Case Studies
    Rapleaf processes the many feeds of data that it collects and synthesizes all of that data into a single, accurate view using Hadoop.
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    Solution Brief: Identifying Fraud, Managing Risk and Improving Compliance in Financial Services
    • Friday, Nov 30 2012
    • File Type: .PDF
    • Category: Document, Case Studies
    Cloudera helps companies implement and manage Apache Hadoop so they can derive competitive advantage from Big Data. Datameer provides Apache Hadoop-based analytics that help firms increase operational efficiency, minimize risks and meet financial compliance regulations.
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    Dell SecureWorks slashes the cost of storage with Dell | Cloudera Hadoop solution
    • Thursday, Nov 29 2012
    • File Type: .PDF
    • Category: Document, Case Studies
    Dell™ SecureWorks™ needed a highly scalable solution for collecting, processing, and analyzing massive amounts of data collected from customer environments.
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    SINAInnovation: Innovation and Data - Jeffrey Hammerbacher
    • Tuesday, Nov 20 2012
    • Category: Video, Case Studies
    Cloudera Co-founder Jeff Hammerbacher speaks about data and innovation in the biology and medicine fields.
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    Joint Success Story: Major Retail Bank
    • Thursday, Nov 15 2012
    • File Type: .PDF
    • Category: Document, Case Studies, Data Sheets, Data hub, Data processing ETL offload, Data warehousing offload
    In order to quantify asset risk and comply with regulatory reporting requirements such as the Dodd-Frank Act, this leading retail bank is using Cloudera and Datameer to validate data accuracy and quality.
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    DataSift: Allowing Enterprises to Benefit from Social Data Using Hadoop
    • Wednesday, Nov 07 2012
    • File Type: .PDF
    • Category: Case Studies, Document
    DataSift is a real-time data processing platform that processes, aggregates, and filters data from billions of public social conversations in both real time and historically.
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    Streamlining Healthcare Connectivity with Big Data
    • Sunday, Oct 21 2012
    • File Type: .PDF
    • Category: Document, Case Studies, Data hub, Data processing ETL offload, Data warehousing offload
    The connectivity and information technology subsidiary of a major pharmaceutical company was created to simplify how the business of healthcare is managed while making the delivery of care safer and more efficient.
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    Experian: Transforming the Marketing Landscape with Cloudera
    • Saturday, Oct 20 2012
    • File Type: .PDF
    • Category: Document, Case Studies, Data hub, Data processing ETL offload, Data warehousing offload
    Experian Marketing Services (EMS) helps marketers connect with customers through relevant communications across a variety of channels, driven by advanced analytics on an extensive database of geographic, demographic, and lifestyle data.
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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.