Data Engineering and Database Systems
This track focuses on the technologies and processes required to collect, organize, integrate, manage, and maintain high-quality data. Topics include data preprocessing, data cleaning, ETL pipelines, data integration
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Data Engineering and Database Systems Conference Speakers
Recommended Sessions
- Artificial Intelligence and Machine Learning
- Big Data Applications in Industry and Society
- Big Data Technologies and Infrastructure
- Cloud, Edge and Distributed Computing
- Computer Vision and Multimedia Analytics
- Cybersecurity, Privacy and Data Protection
- Data Engineering and Database Systems
- Data Mining and Knowledge Discovery
- Data Science and Advanced Analytics
- Data Visualization and Business Intelligence
- Deep Learning and Intelligent Computing
- Emerging Technologies and Future Computing
- Internet of Things and Smart Technologies
- Natural Language Processing and Information Retrieval
- Responsible AI, Ethics and Data Governance
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