LinkedIn Learning – Vector, Graph, and DynamoDB

LinkedIn Learning – Vector, Graph, and DynamoDB
English | Tutorial | Size: 170.18 MB

In this course, MLOps expert Noah Gift explores vector and graph databases, powerful tools for managing and extracting insights from large, complex datasets. As data volumes continue to grow, scalability is crucial. We’ll learn how vector and graph databases can efficiently store data while maintaining relationships, enabling more advanced analytics. Through real-world examples, you’ll see how these databases unlock scalability for machine learning, fraud detection, social networks, and more.

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