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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    Experian Marketing Services leaps forward in operational efficiency with Cloudera
    • Tuesday, Apr 10 2012
    • Category: Case Studies, Video, Data hub, Data processing ETL offload, Data warehousing offload
    Experian shares their perspective on the Experian Marketing Services use case for Hadoop, reasons for partnering with Cloudera, and impact to the business.
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    Tubular Labs Accelerates YouTube Audience Growth with Cloudera-powered Enterprise Data Hub
    • Monday, Nov 03 2014
    • File Type: .PDF
    • Category: Media & Entertainment, 360-degree customer view, Document, Case Studies
    Thousands of Tubular customers use Impala to access, query, and explore synthesized, live information in real time.
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    California State University, Los Angeles Cloudera Academic Partnership
    • Tuesday, Apr 29 2014
    • File Type: .PDF
    • Category: Document, Case Studies
    Cloudera provides colleges, universities, and trade schools around the globe with course materials and exercises that allow students to correlate theory with hands-on experience
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    Explorys Medical: Improving Healthcare Quality & Costs Using a Big Data Platform
    • Thursday, Feb 20 2014
    • File Type: .PDF
    • Category: Case Studies, About Cloudera, Document
    Explorys has built a cloud-based Enterprise Performance Management (EPM) computing platform for healthcare providers that enables real-time exploration, performance and predictive analytics of clinical data.
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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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    Opower Uses Big Data to Help Consumers Save $320 Million in Utility Bills
    • Tuesday, Nov 19 2013
    • File Type: .PDF
    • Category: Document, Case Studies
    OPower uses Big Data to measure utility usage efficencies and deliver the results to users. This allows users the ability to identify their own habits and inefficiencies and adjust their behavior towards further consumptive efficacy.
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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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    Patterns and Predictions Uses Big Data to Predict Veteran Suicide Risk
    • Tuesday, Aug 27 2013
    • Category: Cloudera Enterprise, Case Studies, Document
    Patterns and Predictions uses Hadoop to power The Durkheim Project – a Big Data analytics network that assesses mental health risk, in real time and at scale, through a machine learning framework that runs on CDH, leveraging Cloudera Search and Cloudera Impala.
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    CSC Expedites Big Data Application Development for Government
    • Monday, Sep 15 2014
    • File Type: .PDF
    • Category: Document, Case Studies
    By deploying Cloudera within its EzBake application engine, CSC has built a scalable framework that reduces the barrier to entry for federal developers to migrate their Big Data applications to a cloud-based enterprise data hub environment, with standardized security right out of the box.
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    Nokia: Using Big Data to Bridge the Virtual & Physical Worlds
    • Monday, Apr 09 2012
    • File Type: .PDF
    • Category: Case Studies, About Cloudera, Document, Data warehousing offload, Data processing ETL offload, Data hub
    Effective collection and use of data has become central to Nokia’s ability to understand and improve users’ experiences with their phones and other location products.