Certificate in Edge Data Engineering
-- ViewingNowThe Certificate in Edge Data Engineering is a comprehensive course that equips learners with essential skills for career advancement in the rapidly evolving field of data engineering. This course focuses on the importance of edge data computing, a critical component of modern data architecture that brings computation and data storage closer to the source of data generation.
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โข Introduction to Edge Data Engineering: Overview of edge computing, data processing at the edge, and the importance of edge data engineering.
โข Data Collection and Processing: Techniques for collecting and processing data at the edge, including real-time data streaming and data preprocessing.
โข Edge Analytics: Introduction to edge analytics, edge analytics use cases, and techniques for implementing edge analytics.
โข Data Security and Privacy: Best practices for securing edge data, ensuring data privacy, and complying with relevant regulations.
โข Edge DevOps and MLOps: DevOps and MLOps practices for edge computing, including continuous integration, continuous delivery, and monitoring at the edge.
โข Selecting Edge Hardware: Factors to consider when selecting edge hardware, including power consumption, processing capabilities, and storage capacity.
โข Designing and Deploying Edge Applications: Techniques for designing and deploying edge applications, including containerization and orchestration.
โข Scaling Edge Infrastructure: Strategies for scaling edge infrastructure, including load balancing, fault tolerance, and disaster recovery.
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