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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    Enterprise Data Hub: The Next Big Thing in Big Data
    • Tuesday, Nov 12 2013
    • Category: Recorded Webinars, Video, About Cloudera, Data warehousing offload
    This webinar touches on a few of the key highlights from Strata + Hadoop World 2013, including key trends in Big Data adoption, the enterprise data hub, and how the enterprise data hub is used in practice.
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    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.
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    Introduction to Apache HBase Training
    • Tuesday, Sep 24 2013
    • Category: CDH, Video, Recorded Webinars
    Learn how HBase can help you scalably store, access, and process massive data sets in near real-time.
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    Webinar | How CBS Interactive uses Cloudera Manager to effectively manage their Hadoop cluster
    • Wednesday, Sep 19 2012
    • Category: Recorded Webinars, Video
    How CBSi uses Cloudera Manager to effectively manage the complete lifecycle of CBSi’s Hadoop operations.
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    Introduction to Hadoop Administrator Training
    • Thursday, Aug 29 2013
    • Category: Video, About Training, Online Courses, Recorded Webinars
    Expertly manage your Apache Hadoop cluster from strategy and deployment to security and production.
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    Impala Unlocks Interactive BI on Hadoop
    • Thursday, May 23 2013
    • Category: Cloudera Enterprise, Video, Recorded Webinars, Product Demos
    Cloudera and MicroStrategy share how Impala works, how it is uniquely architected to provide an interactive SQL experience native to Hadoop, and provide a short demo of how you can leverage the power of MicroStrategy 9.3.1.
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    The Bloor Group: Tech Lab Series - The Agile Enterprise
    • Friday, Nov 07 2014
    • Category: Video, Recorded Webinars, Analyst Reports
    Learn from Data Scientist, Dr. Geoffrey Malafsky, as he showcases an enterprise data hub built for one of the largest organizations in the world. He’ll demonstrate how the Cloudera Hadoop solution can be used to flexibly and continuously normalize corporate ‘small data’ – and feed that data to any number of business intelligence and analytical tools.
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    Webinar | Why every NoSQL deployment should be paired with Hadoop
    • Wednesday, May 16 2012
    • Category: Recorded Webinars, Video
    Learn the categories of NoSQL systems, and the types of applications for which they are best suited, how CDH and Couchbase can be used together to build better applications, explore real-world use cases where NoSQL and Hadoop technologies work in concert and why NoSQL and Big Data are similar, but different.
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    Building a Hadoop Data Warehouse with Impala
    • Wednesday, Apr 09 2014
    • Category: Data warehousing offload, Data hub, Video, CDH, Recorded Webinars
    Explore how Impala's architecture supports query speed over Hadoop data that not only convincingly exceeds that of Hive, but also that of a proprietary analytic DBMS over its own native columnar format, understand the current state of, and roadmap for, Impala's analytic SQL functionality, and see an example configuration and benchmark suite that demonstrate how Impala offers a high level of performance, functionality, and ability to handle a multi-user workload, while retaining Hadoop’s traditional strengths of flexibility and ease of scaling.
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    Design Patterns for Large-Scale Real-Time Learning
    • Wednesday, Mar 19 2014
    • Category: Recorded Webinars, Video
    Building a production-ready large-scale operational analytics system remains a difficult and ad-hoc endeavor, especially when real-time answers are required. Design patterns for effective implementations are emerging, which take advantage of relaxed assumptions, adopt a new tiered "lambda" architecture, and pick the right scale-friendly algorithms to succeed. Drawing on experience from customer problems, this session presents a reference architecture and algorithm design choices for a successful implementation.