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Effective Training Strategies for Big Data
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Effective Training Strategies for Big Data: Analysis of various training strategies for big
data analytics, highlighting the pros and cons of different learning approaches like online learning
platforms, boot camps, and university courses.
3.
Overcoming Challenges in Big Data Training: A deep dive into the challenges faced in
training for big data skills and strategies to overcome these obstacles, such as industry-academia
partnerships and hands-on training sessions.
4.
Adapting to Future Trends in Big Data: Discussion on how to prepare for future trends
in big data, including the integration of AI and machine learning in big data analysis and the
importance of continuous learning.
Conclusion. Effective training and skill development are crucial for professionals working in
the field of big data. With the right training strategies, individuals can acquire the necessary skills
to analyze and derive meaningful insights from large datasets, thereby contributing significantly
to their organizations' success.
Literature
1.
Johnson, M., Smith, J. (2022). "Core Competencies in Big Data Analysis". Journal of Data
Science Education.
2.
Lee, H., Kim, J. (2023). "Training Methodologies for Effective Big Data Analytics".
International Journal of Analytics and Education.
3.
Patel, R. (2021). "Challenges and Solutions in Big Data Training". Big Data Training
Review.
4.
Zhang, Y. (2024). "Emerging Trends in Big Data Skill Development". Future of Data
Science Journal.
INTEGRATION OF SOFT SKILLS AND TECHNICAL SKILLS IN THE TRAINING OF IT SPECIALISTS
Pogatsnik Monikam
University of Obuda, Hungary
Sany Izan Ihsan
International Islamic University of Malaysia, Malaysia
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