PERBEDAAN DATA ENGINEER, DATA SCIENTIST DAN DATA ANALYST
Main Article Content
Abstract
Seseorang yang ahli dalam keterampilan analisis data hanyalah keterampilan dasar seorang insinyur data. Keahlian statistik digunakan untuk memproses data baca dan tag, serta untuk mengkategorikan data. Karena erat kaitannya dengan pemodelan yang dibuat untuk menguji algoritma pada level data scientist. Model yang dibuat pada fase data scientist digunakan sebagai alat dalam fase business intelligence. Pada tahap akhir ini, eksekusi yang akan dilakukan harus memberikan dampak positif dan keuntungan yang besar bagi sebuah instansi.
Article Details
How to Cite
Setiawan, I. (2021). PERBEDAAN DATA ENGINEER, DATA SCIENTIST DAN DATA ANALYST. Widya Accarya, 12(2), 306-309. https://doi.org/10.46650/wa.12.2.1142.306-309
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Articles
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References
Alonso-Fernandez, C., Calvo-Morata, A., Freire, M., Martinez-Ortiz, I., & Fernández-Manjón, B. (2019). Applications of data science to game learning analytics data: A systematic literature review. Computers & Education, 141, 103612.
Arnott, D., Lizama, F., & Song, Y. (2017). Patterns of business intelligence systems use in organizations. Decision Support Systems, 97, 58–68.
Cao, L. (2017). Data science: a comprehensive overview. ACM Computing Surveys (CSUR), 50(3), 1–42.
Dinov, I. D. (2018). Data Science and Predictive Analytics. Springer.
Dunn, P. F., & Davis, M. P. (2017). Measurement and data analysis for engineering and science. CRC press.
Hao, J., & Ho, T. K. (2019). Machine learning made easy: A review of scikit-learn package in Python programming language. Journal of Educational and Behavioral Statistics, 44(3), 348–361.
Hoiles, W., Aprem, A., & Krishnamurthy, V. (2017). Engagement and popularity dynamics of YouTube videos and sensitivity to meta-data. IEEE Transactions on Knowledge and Data Engineering, 29(7), 1426–1437.
Kelleher, J. D., & Tierney, B. (2018). Data science. MIT Press.
Richards, G., Yeoh, W., Chong, A. Y. L., & Popovič, A. (2019). Business intelligence effectiveness and corporate performance management: an empirical analysis. Journal of Computer Information Systems, 59(2), 188–196.
Roy, S., Ray, R., Roy, A., Sinha, S., Mukherjee, G., Pyne, S., Mitra, S., Basu, S., & Hazra, S. (2017). IoT, big data science & analytics, cloud computing and mobile app based hybrid system for smart agriculture. 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON), 303–304.
Santika, I. G. N. (2017). Kepala Sekolah Dalam Konsep Kepemimpinan Pendidikan: Suatu Kajian Teoritis. Widya Accarya, 7(1). http://103.39.12.42/index.php/widyaaccarya/article/view/898
Santika, I. G. N. (2020). Optimalisasi Peran Keluarga Dalam Menghadapi Persoalan Covid- 19 : Sebuah Kajian Literatur. Jurnal Ilmiah Ilmu Sosial, 6(2), 127–137. https://doi.org/http://dx.doi.org/10.23887/jiis.v6i2.28437
Santika, I. G. N. (2021). Grand Desain Kebijakan Strategis Pemerintah Dalam Bidang Pendidikan Untuk Menghadapi Revolusi Industri 4.0. Jurnal Education and Development, 9(2), 369–377.
Swarniti, N. W. (2019). The Translation Procedures of Bible Translation. RETORIKA: Jurnal Ilmu Bahasa, 5(2), 187–196. https://doi.org/10.22225/jr.5.2.1277.187-196
Swarniti, N. W. (2021). A Corpus Based Approach to the Analysis of Structures in Prepositional Phrase. Yavana Bhasha: Journal of English Language Education, 4(1), 18–22. https://doi.org/http://dx.doi.org/10.25078/yb.v4i1.2207
Swarniti, N. W. (2021). Translation Methods Found in New Testament Bible of Mark ’ s Gospel. RETORIKA: Jurnal Ilmu Bahasa, 7(2), 172–179. https://doi.org/https://doi.org/10.22225/jr.7.2.3823.172-179
Arnott, D., Lizama, F., & Song, Y. (2017). Patterns of business intelligence systems use in organizations. Decision Support Systems, 97, 58–68.
Cao, L. (2017). Data science: a comprehensive overview. ACM Computing Surveys (CSUR), 50(3), 1–42.
Dinov, I. D. (2018). Data Science and Predictive Analytics. Springer.
Dunn, P. F., & Davis, M. P. (2017). Measurement and data analysis for engineering and science. CRC press.
Hao, J., & Ho, T. K. (2019). Machine learning made easy: A review of scikit-learn package in Python programming language. Journal of Educational and Behavioral Statistics, 44(3), 348–361.
Hoiles, W., Aprem, A., & Krishnamurthy, V. (2017). Engagement and popularity dynamics of YouTube videos and sensitivity to meta-data. IEEE Transactions on Knowledge and Data Engineering, 29(7), 1426–1437.
Kelleher, J. D., & Tierney, B. (2018). Data science. MIT Press.
Richards, G., Yeoh, W., Chong, A. Y. L., & Popovič, A. (2019). Business intelligence effectiveness and corporate performance management: an empirical analysis. Journal of Computer Information Systems, 59(2), 188–196.
Roy, S., Ray, R., Roy, A., Sinha, S., Mukherjee, G., Pyne, S., Mitra, S., Basu, S., & Hazra, S. (2017). IoT, big data science & analytics, cloud computing and mobile app based hybrid system for smart agriculture. 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON), 303–304.
Santika, I. G. N. (2017). Kepala Sekolah Dalam Konsep Kepemimpinan Pendidikan: Suatu Kajian Teoritis. Widya Accarya, 7(1). http://103.39.12.42/index.php/widyaaccarya/article/view/898
Santika, I. G. N. (2020). Optimalisasi Peran Keluarga Dalam Menghadapi Persoalan Covid- 19 : Sebuah Kajian Literatur. Jurnal Ilmiah Ilmu Sosial, 6(2), 127–137. https://doi.org/http://dx.doi.org/10.23887/jiis.v6i2.28437
Santika, I. G. N. (2021). Grand Desain Kebijakan Strategis Pemerintah Dalam Bidang Pendidikan Untuk Menghadapi Revolusi Industri 4.0. Jurnal Education and Development, 9(2), 369–377.
Swarniti, N. W. (2019). The Translation Procedures of Bible Translation. RETORIKA: Jurnal Ilmu Bahasa, 5(2), 187–196. https://doi.org/10.22225/jr.5.2.1277.187-196
Swarniti, N. W. (2021). A Corpus Based Approach to the Analysis of Structures in Prepositional Phrase. Yavana Bhasha: Journal of English Language Education, 4(1), 18–22. https://doi.org/http://dx.doi.org/10.25078/yb.v4i1.2207
Swarniti, N. W. (2021). Translation Methods Found in New Testament Bible of Mark ’ s Gospel. RETORIKA: Jurnal Ilmu Bahasa, 7(2), 172–179. https://doi.org/https://doi.org/10.22225/jr.7.2.3823.172-179