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.

  1. /content/cloudera/en/resources/library/casestudy/microstrategy-case-study-adconion-direct/jcr:content/mainContent/resourcecomponent.img.png/1405443132214.png
    MicroStrategy Case Study-Adconion Direct
    • Wednesday, Jul 02 2014
    • File Type: .PDF
    • Category: Case Studies, Document
    Every month, Adconion records over 22 billion ad events. Through MicroStrategy subscriptions, users are getting records of impressions, clicks, and other events delivered to them within minutes of the event occurrences. This actionable data allows users to better adjust price points and pacing of their web campaigns for the most effective results.
  2. /content/cloudera/en/resources/library/casestudy/western-union-case-study/jcr:content/mainContent/resourcecomponent.img.png/1405443112826.png
    Western Union Implements Enterprise Data Hub on its Path to Deliver an Omni-channel Customer Experience
    • Thursday, Jun 26 2014
    • File Type: .PDF
    • Category: Document, Case Studies, Cloudera Enterprise
    Developing relevant and forward-looking customer solutions that drive a better, more personalized experience for both senders and receivers.
  3. /content/cloudera/en/resources/library/recordedwebinar/machine-learning-loves-hadoop/jcr:content/mainContent/resourcecomponent.img.png/1405383779033.png
    Machine Learning Loves Hadoop
    • Tuesday, Jun 24 2014
    • Category: Predictive modeling, Video, Recorded Webinars
    Watch this webinar to learn what machine learning is, why you should use machine learning algorithms, what the common challenges of machine learning are, and how Cloudera’s enterprise data hub supports machine learning.
  4. /content/cloudera/en/resources/library/recordedwebinar/machine-learning-loves-hadoop-slides/jcr:content/mainContent/resourcecomponent.img.png/1405383793801.png
    Machine Learning Loves Hadoop
    • Tuesday, Jun 24 2014
    • Category: Predictive modeling, Presentation Slides, Presentation
    Watch this webinar to learn what machine learning is, why you should use machine learning algorithms, what the common challenges of machine learning are, and how Cloudera’s enterprise data hub supports machine learning.
  5. /content/cloudera/en/resources/library/recordedwebinar/compliance-ready-hadoop-comprehensive-security-for-the-enterprise-slides/jcr:content/mainContent/resourcecomponent.img.png/1405383818418.png
    Comprehensive Hadoop Security for the Enterprise | Part 1 | Compliance Ready Hadoop
    • Thursday, Jun 19 2014
    • Category: Cyber security, Fraud detection, Financial Services, Healthcare & Life Sciences, Presentation Slides
    Learn how security in Hadoop is quickly changing, and what the key requirements are for taking Hadoop to the next level in your organization.
  6. /content/cloudera/en/resources/library/recordedwebinar/compliance-ready-hadoop-comprehensive-security-for-the-enterpris/jcr:content/mainContent/resourcecomponent.img.png/1408058341746.png
    Comprehensive Security for the Enterprise I: Compliance Ready Hadoop
    • Thursday, Jun 19 2014
    • Category: Cyber security, Fraud detection, Financial Services, Healthcare & Life Sciences, Recorded Webinars, Video
    Learn how security in Hadoop is quickly changing, and what the key requirements are for taking Hadoop to the next level in your organization.
  7. /content/cloudera/en/resources/library/recordedwebinar/cognitive-computing--technology---infrastructure-driving-situati/jcr:content/mainContent/resourcecomponent.img.png/1408383616635.png
    Cognitive Computing, Technology & Infrastructure
    Driving Situational Awareness throughout the Financial Institution
    • Tuesday, Jun 17 2014
    • Category: Data hub, Financial Services, Video, Recorded Webinars
    Learn current state and future risk and compliance challenges facing the financial services industry, how cognitive computing paired with a scalable, secure and managed infrastructure can close current surveillance gaps, while reducing false positives and revealing real risks, and what is needed to operationalize and manage a bank-wide Hadoop environment.
  8. Operations Session 5 - HBase Backups
    • Monday, Jun 16 2014
    • Category: Presentation, Video, HBaseCon
    This talk provides an overview of enterprise-scale backup strategies for HBase: Jesse Yates will describe how Salesforce.com runs backup and recovery on its multi-tenant, enterprise scale HBase deploys; Demai Ni, Songqinq Ding, and Jing Chen of the IBM InfoSphere BigInsights development team will then follow with a description of IBM's recently open-sourced disaster/recovery solution based on HBase snapshots and replication.
  9. Tales from the Cloudera Field - Operations Session 4
    • Monday, Jun 16 2014
    • Category: Presentation, HBaseCon, Video
    From supporting the 0.90.x, 0.92, 0.94, and 0.96 HBase installations on clusters ranging from tens to hundreds of nodes, Cloudera has seen it all. Having automated the upgrade paths from the different Apache releases, we have developed a smooth path that can help the community with upcoming upgrades. In addition to automation best practices, in this talk you'll also learn proactive configuration tweaks and operational best practices to keep your HBase cluster always up and running. We'll also walk through how to contain an application bug let loose in production, to minimize the impact on HBase posed by faulty hardware, and the direct correlation between inefficient schema design and HBase performance.
  10. Real-time HBase: Lessons from the Cloud - Operations Session 3
    • Monday, Jun 16 2014
    • Category: HBaseCon, Presentation, Video
    Running HBase in real time in the cloud provides an interesting and ever-changing set of challenges -- instance types are not ideal, neighbors can degrade your performance, and instances can randomly die in unanticipated ways. This talk will cover what HubSpot has learned about running in production on Amazon EC2, how to handle DR and redundancy, and the tooling the team has found to be the most helpful.