Semantic Pill 11

Semantic Pill 11

 Tips:

 

  • Google gadgets as seen above have been deprecated by Google: however gadgets always will have a significant place within the ICT Community and specifically within Big Data, see figure below;
  • GIS stands for Geographic Information System and was always a typical application of “Big Data of any time” that is always capturing, structuring, retrieving and managing data at the limit of the available technologies, for instance GIS Tools for Hadoop;  
  • Something similar occurs with GPS, Global Positioning System (see ephemeris and its world); by the way along our explorations guides by this semantic seed we face from time to time interesting authorities related to our main subject: see Content about GPS by Big Data Insight Group;
  • HaaS, Hardware as a Service alone has not too much sense perhaps less than SaaS, Software as a Service because for ICT it would be more about the same. However HaaS and SaaS related to Big Data have sense because Big Data is a challenge for everybody, vendors, buyers and users (see HaaS now by the University of California at Berkeley) ;
  • Finally we arrive to Hadoop from Apache. If you are a beginner we advise you to star reading its introduction What is Apache Hadoop:

 

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. The project includes these modules: Hadoop Common: The common utilities that support the other Hadoop modules; Hadoop Distributed File System (HDFS™); A distributed file system that provides high-throughput access to application data; Hadoop YARN: A framework for job scheduling and cluster resource management; Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.

  

Ericson said that Data Traffic doubles this year and trend continues, by gadgets.ndtc.com

 

 

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