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

Luis Emilio Alvarez-Dionisi | Zendy

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

Author(s) -

Luis Emilio Alvarez-Dionisi

Publication year - 2017

Publication title -

international journal of information technology and computer science

Language(s) - English

Resource type - Journals

eISSN - 2074-9015

pISSN - 2074-9007

DOI - 10.5815/ijitcs.2017.01.03

Subject(s) - computer science , big data , data science , window (computing) , work (physics) , knowledge management , engineering management , world wide web , data mining , engineering , mechanical engineering

The skills for big data technology provide a window of new job opportunities for the informat ion 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; Pro ject Management; Program Management; and Portfo lio Management. This paper is part of an ongoing research that addresses the link between economic growth and big data.

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