{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T20:28:11Z","timestamp":1729628891281,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/bigdata.2016.7840939","type":"proceedings-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T21:46:59Z","timestamp":1486504019000},"page":"2896-2901","source":"Crossref","is-referenced-by-count":6,"title":["Not all software engineers can become good data engineers"],"prefix":"10.1109","author":[{"given":"Jeffrey S.","family":"Saltz","sequence":"first","affiliation":[]},{"given":"Sibel","family":"Yilmazel","sequence":"additional","affiliation":[]},{"given":"Ozgur","family":"Yilmazel","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.2307\/41703503","article-title":"Business Intelligence and Analytics: From Big Data to Big Impact","volume":"36","author":"chen","year":"2012","journal-title":"MIS Quarterly Executive"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2015.7363988"},{"key":"ref12","first-page":"289","article-title":"Bus Inf Syst Eng","volume":"6","author":"debortoli","year":"2014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.7146\/jod.9823"},{"key":"ref14","article-title":"Gone Fishing-for Data","volume":"56","author":"fitzgerald","year":"2015","journal-title":"MIT Sloan Management Review"},{"journal-title":"Indeed com","article-title":"Data Engineer Job Trends","year":"2014","key":"ref15"},{"journal-title":"LinkedIn","article-title":"Data Engineer Jobs","year":"2014","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.2762013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2015.7363992"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2307\/3641622"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-04948-9_2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2016.7840936"},{"key":"ref5","article-title":"Towards A Process View on Critical Success Factors in Big Data Analytics Projects","author":"gao","year":"2015","journal-title":"Twenty-first Americas Conference on Information Systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.24251\/HICSS.2017.120"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEOT.2016.7754854"},{"key":"ref2","article-title":"The Hottest Jobs In IT: Training Tomorrow's Data Scientists","author":"violino","year":"2014","journal-title":"Forbes"},{"key":"ref1","article-title":"As Data Proliferate, So Do Data-Related Graduate Programs","author":"o'neil","year":"2014","journal-title":"The Chronicle of Higher Education"},{"key":"ref9","article-title":"Big Data: The Next Frontier for Innovation, Competition, and Productivity","author":"manyika","year":"2015","journal-title":"McKinsey & Company"}],"event":{"name":"2016 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2016,12,5]]},"location":"Washington DC,USA","end":{"date-parts":[[2016,12,8]]}},"container-title":["2016 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7818133\/7840573\/07840939.pdf?arnumber=7840939","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,18]],"date-time":"2019-09-18T11:18:34Z","timestamp":1568805514000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7840939\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2016.7840939","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}