Pokok Bahasan / Bahan Kajian

• Konsep dasar Big Data 7v (Volume, Velocity, Variety, Veracity, Visibility, Value, Visualization)
• Library dan Frameworok Big Data Analytic
• Artificial Intelligence dan Big Data untuk AnalisiS

Pustaka

• Introduction to Data Mining, https://www-users.cse.umn.edu/~kumar001/dmbook/index.php
• Big Data Principles and Paradigms, https://dhoto.lecturer.pens.ac.id/lecture_notes/internet_of_things/Big%20Data%20Principles%20and%20P...
• Data Science and Big Data Analytics, https://drive.google.com/file/d/1qwxFgsnQHmbawzHRupMxpIU8K335sdfs/view?usp=sharing
  
• An Introduction to Data Everything You Need to Know About AI, Big Data and Data Science, https://drive.google.com/file/d/1J1QR8ISRk8PUZgMXUecqnQwbS7wMVHnl/view?usp=sharing
  
• Modul Praktikum https://docs.google.com/document/d/1z5gu-f0QxuQdQw04ZuEssFMHYis1W7_5mtV7F-EnmDU/edit?usp=sharing
  

• Tom White, "Hadoop: The Definitive Guide," O'Reilly Media.

• Holden Karau et al., "Learning Spark," O'Reilly Media.

• Anil Maheshwari, "Data Analytics Made Accessible," 2020.

• Materi tambahan dari jurnal dan konferensi terkait big data.

• Video Pembelajaran (YouTube)
• Modul Praktikum (Google Doc)
• Sistem Operasi Virtual (Windows Subsystem Linux)
• Sistem Operasi (Debian)
• Penyimpanan Data (Google Drive)
• Integrated Development Environment (IDE)