Amazon Neptune: Graph Database Fundamentals

Unlock the power of connected data and relationships with graph databases, an essential skill for modern data management. This course will guide you through the foundational principles of graph databases and equip you with the practical knowledge to effectively use Amazon Neptune, enabling you to design and interact with complex data structures. What you'll learn: * Understand the fundamental concepts of graph databases, including nodes, edges, and properties * Learn the architecture and managed service capabilities of Amazon Neptune * Practice querying graph data using both Gremlin and SPARQL * Apply best practices for designing and modeling data for graph databases * Configure basic security and access controls for Amazon Neptune instances * Explore common use cases for graph databases, such as social networks and recommendation engines The course begins with an introduction to graph database theory, progressing to hands-on interaction with Amazon Neptune, covering its features, data modeling, querying languages, and practical applications. This course is designed for beginners interested in graph databases and Amazon Neptune, with no prior experience required. Start your journey into the world of connected data today.