Envisioning Skills for Adopting, Managing, and Implementing Big Data Technology in the 21st Century

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Luis Emilio Alvarez-Dionisi 1,*

1. Faculty of Social and Economic Science (FACES), School of Accounting, Santa MarĂ­a University, Barinas, Venezuela

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2017.01.03

Received: 11 Mar. 2016 / Revised: 16 Jul. 2016 / Accepted: 20 Sep. 2016 / Published: 8 Jan. 2017

Index Terms

Big Data, Skills, NoSQL Databases, Hadoop


The skills for big data technology provide a window of new job opportunities for the information technology (IT) professionals in the emerging data science landscape. Consequently, the objective of this paper is to introduce the research results of suitable skills required to work with big data technology. Such skills include Document Stored Database; Key-value Stored Database; Column-oriented Database; Object-oriented Database; Graph Database; MapReduce; Hadoop Distributed File System (HDFS); YARN Framework; Zookeeper; Oozie; Hive; Pig; HBase; Mahout; Sqoop; Spark; Flume; Drill; Programming Languages; IBM Watson Analytics; Statistical Tools; SQL; Project Management; Program Management; and Portfolio Management. This paper is part of an ongoing research that addresses the link between economic growth and big data.

Cite This Paper

Luis Emilio Alvarez-Dionisi,"Envisioning Skills for Adopting, Managing, and Implementing Big Data Technology in the 21stCentury", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.1, pp.18-25, 2017. DOI:10.5815/ijitcs.2017.01.03


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