2014 IEEE International Conference on Big Data (Big Data) 2014
DOI: 10.1109/bigdata.2014.7004319
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Increasing the accessibility to Big Data systems via a common services API

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Cited by 6 publications
(4 citation statements)
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“…The Architecture ( Figure.2) of this model implements Data achieve, Transaction system, Operational Data Store (ODS), Big Data Engine [14] and Data Analytics. They are interrelated and both are used to provide the efficient mining process to find the associations existing in Big Data.…”
Section: Proposed Systemmentioning
confidence: 99%
“…The Architecture ( Figure.2) of this model implements Data achieve, Transaction system, Operational Data Store (ODS), Big Data Engine [14] and Data Analytics. They are interrelated and both are used to provide the efficient mining process to find the associations existing in Big Data.…”
Section: Proposed Systemmentioning
confidence: 99%
“…Giannakis et al present a series of articles that describe how sensor signal processing algorithms may be adapted to operate over big and social data sets [38]. Malcom et al even developed a uniform programming interface so that non-experts can utilize state-of-the-art big data technologies [63] for social role analysis.…”
Section: Comparative Analysismentioning
confidence: 99%
“…The McKinsey Global Institute estimates that data volume is growing 40% per year, and will grow 44 times larger between 2009 and 2020 [1], similar statements can be applied to the other V-dimensions of the Big Data paradigm (Velocity and Variety). Many IT companies propose to their customers to manage Big Data challenges using a complex stack of technologies [2] including (i) data preparation utilities like Paxata 1 ; (ii) a data storage layer, such as Hadoop Distributed File System (HDFS) 2 ; (iii) a distributed computing framework such as Hadoop 3 or Spark 4 ; (iv) a data flow layer that applies map-reduce operations to the data partitions of the data storage layer; typically implemented with Big Data specific languages like HiveQL 5 , PigLatin 6 or Jaql 7 ; and (v) a data query layer implemented with scaling "Not only SQL" databases like Cassandra 8 or HBase 9 .…”
Section: Introductionmentioning
confidence: 99%
“…Despite the benefits of investing in Big Data systems are largely recognised, their adoption have been slow due to a variety of reasons [3]. One of the main reason is that organisations are strongly committed to their systems mainly due to the costs and implications of renewing a technological infrastructure from scratch, therefore their main concern is integrating legacy systems to new technologies, making the best of both worlds.…”
Section: Introductionmentioning
confidence: 99%