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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    Evolution of Hadoop in Enterprises
    • Tuesday, Feb 04 2014
    • Category: Recorded Webinars, Video
    A look at how enterprises have been using the Hadoop ecosystem and how the usage has evolved over time.
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    TDWI Big Data Maturity Model and Assessment Tool
    • Monday, Jan 27 2014
    • Category: Big Data, Analyst Reports, Document
    TDWI developed the Big Data Maturity Model to describe the stages that most organizations follow when they embark on big data initiatives. The model provides the big picture of a big data program, where it needs to go, and how to get there.
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    From Hadoop to the Enterprise Data Hub: A New Foundation for Modern Information Architecture
    • Tuesday, Jan 14 2014
    • Category: Cloudera Enterprise, Presentation Slides, Enterprise Big Data
    Hadoop has evolved from its niche origins at large Internet firms into a core component of modern information architecture; you can mainstream Big Data and Hadoop through an “embrace and extend” strategy that maps the platform to your IT organization, the practices for running the data center, and to your core business requirements; you can deploy Hadoop as the foundation of an Enterprise Data Hub to efficiently and securely store, process, analyze, and serve all your data, while complementing existing systems, practices, and skills.
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    From Hadoop to the Enterprise Data Hub: A New Foundation for Modern Information Architecture
    • Tuesday, Jan 14 2014
    • Category: Cloudera Enterprise, Video, Recorded Webinars, Data processing ETL offload, Data warehousing offload, Analyst Reports
    Analyst firm Ovum shares how Hadoop has evolved from its niche origins at large Internet firms into a core component of modern information architecture; you can mainstream Big Data and Hadoop through an “embrace and extend” strategy that maps the platform to your IT organization, the practices for running the data center, and to your core business requirements; you can deploy Hadoop as the foundation of an enterprise data hub to efficiently and securely store, process, analyze, and serve all your data, while complementing existing systems, practices, and skills.
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    SGI Solution Brief
    • Friday, Jan 10 2014
    • File Type: .PDF
    • Category: Document, Cloudera Partner, Solution Briefs
    SGI InfiniteData Cluster with Cloudera is designed to meet this challenge and enables business and government agencies perform Big Data analytics with faster, greater insight and at lower cost.
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    Cloudera And MicroStrategy Deliver Easy-to-Use Business Intelligence for Apache Hadoop
    • Thursday, Jan 09 2014
    • File Type: .PDF
    • Category: Document, Case Studies
    Empowering business users to extract valuable insights from massive volumes of structured and unstructured data.
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    Cloudera and MicroStrategy Deliver Easy-to-Use Business Intelligence for Apache™ Hadoop®
    • Thursday, Jan 09 2014
    • File Type: .PDF
    • Category: , Analytics & Business Intelligence, Document, Solution Briefs
    Empowering business users to extract valuable insights from massive volumes of structured and unstructured data.
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    Solution Brief - Enterprise Data Hub
    • Monday, Jan 06 2014
    • File Type: .PDF
    • Category: Document, , Solution Briefs, Data hub, Data processing ETL offload, Cloudera Enterprise
    Cloudera is pushing the boundaries of what’s possible in order to solve the next generation of business problems, by delivering an enterprise data hub powered by Apache Hadoop.
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    Cloudera Impala
    • Thursday, Dec 19 2013
    • File Type: .PDF
    • Category: Hadoop, Products and Service, CDH, Using Cloudera,
    Cloudera Impala is an open source Massively Parallel Processing (MPP) query engine that runs natively on Apache Hadoop. The Apache-licensed Impala project brings scalable parallel database technology to Hadoop, enabling users to issue low-latency SQL queries to data stored in HDFS and Apache HBase without requiring data movement or transformation.
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    Introduction to YARN and MapReduce 2
    • Thursday, Dec 19 2013
    • Category: Video, Recorded Webinars, hadoop training
    As part of the recent release of Hadoop 2 by the Apache Software Foundation, YARN and MapReduce 2 deliver significant upgrades to scheduling, resource management, and execution in Hadoop.