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Big Data using Hadoop Analytics

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Mindmap am Big Data using Hadoop Analytics, erstellt von jebashanthi293 am 01/01/2014.
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Zusammenfassung der Ressource

Big Data using Hadoop Analytics
  1. Definion

    Anmerkungen:

    • Big data refers to the size of a dataset that has grown too large to be manipulated through traditional methods. These methods include capture, storage, and processing of the data in a tolerable amount of time. Although the term big data was once applied to the concept of data warehouses, it now refers to large-scale processing architectures that focus on capacity, throughput, and genericity of processing.   
    1. Hadoop

      Anmerkungen:

      • Hadoop refers to the specific software framework developed under the Apache Project for massively distributed data processing. Its design supports a highly scalable network of thousands of nodes backed by petabytes of data. Hadoop was originally designed using the Java™ language but today has extended itself to many other languages for scripting. Understand the architectures possible with Hadoop and the benefits of their use.   
      1. Problem-solving with Hadoop

        Anmerkungen:

        • Hadoop was inspired by Google's MapReduce usage model, Hadoop is a generic application framework for the processing of massive amounts of data. Learn about the use of Hadoop in artificial intelligence with Apache Mahout, Hadoop with Java technology, and combining Hadoop with the Dojo toolkit for data visualization.   
        1. Big data and cloud computing
          1. Hadoop Analytics

            Anmerkungen:

            • Hadoop is at the core of the Big Data revolution. Vendors such as Cloudera, MapR, and Hortonworks have taken this open source software that enables distributed parallel processing of huge amounts of data, and included important data management and support capabilities.
            1. capabilities for Hadoop Analytics
              1. Fastest Platform to build analytics

                Anmerkungen:

                • Sophisticated but accessible predictive and spatial tools, combined in a simple, workflow design environment
                1. Simple sharing of Big Data analytics

                  Anmerkungen:

                  • Single click sharing of analytic applications that can be used by any decision maker
                  1. All relevant data

                    Anmerkungen:

                    • Access, integration, and cleaning of sources of data as varied as Hadoop (including Cloudera & MapR) or NoSQL (MongoDB) and Excel or Teradata
                  2. About Hadoop software

                    Anmerkungen:

                    • Apache Hadoop software is the only distribution built from silicon up to enable the widest range of data analysis on Apache Hadoop. It is the first with hardware-enhanced performance and security capabilities
                    1. Big data in Private sectors
                      1. Ebay

                        Anmerkungen:

                        • Ebay.com  uses two data warehouses at 7.5 petabytes and 40PB as well as a 40PB Hadoop cluster for search, consumer recommendations, and merchandising
                        1. FaceBook

                          Anmerkungen:

                          • Facebook handles 50 billion photos from its user base.
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