By Saumyadipta Pyne, B.L.S. Prakasa Rao, S.B. Rao
This publication has a suite of articles written by way of large facts specialists to explain a few of the state-of-the-art tools and purposes from their respective components of curiosity, and gives the reader with a close assessment of the sphere of massive facts Analytics because it is practiced at the present time. The chapters disguise technical elements of key parts that generate and use great info akin to administration and finance; medication and healthcare; genome, cytome and microbiome; graphs and networks; web of items; great facts criteria; bench-marking of structures; and others. as well as diversified functions, key algorithmic techniques corresponding to graph partitioning, clustering and finite mix modelling of high-dimensional info also are coated. the numerous selection of issues during this quantity introduces the reader to the richness of the rising box of huge facts Analytics.
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Extra info for Big Data Analytics: Methods and Applications
White Paper HPCC systems: data intensive supercomputing solutions. Solutions 42. NASA applies text analytics to airline safety. com/nasa-applies-textanalytics-to-airline-safety/. Accessed 28 Feb 2015 43. 4 billion in 2017. containerId=prUS24542113. Accessed 28 Feb 2015 44. Processing large-scale graph data: A guide to current technology. com/ developerworks/library/os-giraph/. Accessed 08 Sept 2015 45. Purdue university achieves remarkable results with big data. com/read/purdueuniversity-achieves-remarkable-results-with/489.
A Wide Column database is appropriate for highly scalable applications, which require built-in versioning and high-speed read/write operations. Apache Cassandra11 (Originated by Facebook) and Apache HBase12 are the most widely used Wide Column databases. com/dynamodb/. org/. com/riak/. io/. org/. org/. K. Pusala et al. Document Database A Document database works in a similar way as Wide Column databases, except that it has more complex and deeper nesting format. It also follows the Key-Value storage paradigm.
Org/. K. Pusala et al. Document Database A Document database works in a similar way as Wide Column databases, except that it has more complex and deeper nesting format. It also follows the Key-Value storage paradigm. However, every value is stored as a document in JSON,13 XML14 or other commonly used formats. Unlike Wide Column databases, the structure of each record in a Document database can vary from other records. In Document databases, a new ﬁeld can be added at anytime without worrying about the schema.
Big Data Analytics: Methods and Applications by Saumyadipta Pyne, B.L.S. Prakasa Rao, S.B. Rao