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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    Introduction to Designing and Building Big Data Applications
    • Thursday, Apr 24 2014
    • Category: About Training, Presentation Slides
    Learn what the course covers, from capturing data to building a search interface; the spectrum of processing engines, Apache projects, and ecosystem tools available for converged analytics; who is best suited to attend the course and what prior knowledge you should have; and the benefits of building applications with an enterprise data hub.
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    Cloudera and Pentaho
    • Wednesday, Apr 23 2014
    • File Type: .PDF
    • Category: Solution Briefs, Document
    Deeply integrated with technologies such as Impala, Search and YARN, Pentaho’s Analytics Platform is optimized for Cloudera’s enterprise data hub.
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    Cloudera & Informatica Unleash the Power of Hadoop
    • Wednesday, Apr 23 2014
    • File Type: .PDF
    • Category: Document, Solution Briefs
    One of the biggest challenges associated with Big Data projects is a shortage of resource skills. Informatica and Cloudera address these challenges to increase productivity up to 5 times with readily available trained developers.
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    AMD Improves Yield Predictions with Cloudera-Powered Engineering Data Warehouse
    • Tuesday, Apr 22 2014
    • File Type: .PDF
    • Category: Document, Cloudera Enterprise, Case Studies
    AMD decided to migrate from a relational database management system (RDBMS) to an Apache Hadoop- powered Cloudera system that can process and store more detailed and historical data at low cost.
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    TDWI Best Practices Report: Evolving Data Warehouse Architectures
    • Wednesday, Apr 16 2014
    • File Type: .PDF
    • Category: Data warehousing offload, Data processing ETL offload, Data hub, Business process optimization, Document, Analyst Reports
    This report educates users about the many directions data warehouse architectures are evolving. Big data is a major driver of change with its burgeoning size, sources, frequency of delivery, and diversity of structures. In addition, the adoption of advanced analytics and real-time operation is equally influential on DW architectures. To assist users, many new products and technologies have arrived recently from software vendors and the open source community. This report describes all of the above and more.
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    GovLoop Training: The Foundation for Data Innovation – The Enterprise Data Hub
    • Tuesday, Apr 15 2014
    • Category: Government, Counter-terrorism, Fraud detection, Video, Recorded Webinars
    Government and industry experts share how an EDH is a scalable solution that provides the right tools for effective outcomes, cuts waste, fraud and abuse, creates a better, safer platform for collaboration, and provide methods to help accelerate your time-to-value.
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    Cloudera Builds Enterprise Data Hub to Enhance the Customer Experience
    • Monday, Apr 14 2014
    • File Type: .PDF
    • Category: Document, Support, Business process optimization, Data hub, Why Cloudera, Case Studies
    Cloudera's data hub reduces time-to-resolution of customer support cases by 35%.
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    Get Hired as a Certified Data Scientist
    • Thursday, Apr 10 2014
    • Category: Predictive modeling, Video, Recorded Webinars, About Training
    Learn the details of the new Cloudera Data Science Challenge on healthcare claim anomalies from Sean Owen, the inventor of Myrrix and founder of the Oryx project, how to prepare for the challenge and the resources available to you, what types of insights drive business value from advanced Big Data analytics and the goals that have been achieved by Cloudera Certified Professional: Data Scientists.
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    Get Hired as a Certified Data Scientist
    • Thursday, Apr 10 2014
    • Category: Predictive modeling, Presentation Slides, About Training
    Learn the details of the new Cloudera Data Science Challenge on healthcare claim anomalies from Sean Owen, the inventor of Myrrix and founder of the Oryx project, how to prepare for the challenge and the resources available to you, what types of insights drive business value from advanced Big Data analytics and the goals that have been achieved by Cloudera Certified Professional: Data Scientists.
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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.