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Home > Computing and Information Technology > Databases > Data warehousing > Mastering AWS Neptune Analytics: Architecting In-Memory Graph Analytics Solutions with openCypher, Vector Search, and AWS Services(AWS Cloud Mastery: Building and Securing Applications)
Mastering AWS Neptune Analytics: Architecting In-Memory Graph Analytics Solutions with openCypher, Vector Search, and AWS Services(AWS Cloud Mastery: Building and Securing Applications)

Mastering AWS Neptune Analytics: Architecting In-Memory Graph Analytics Solutions with openCypher, Vector Search, and AWS Services(AWS Cloud Mastery: Building and Securing Applications)


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About the Book

Unlock the Full Power of Graph Analytics in the AWS Ecosystem Amazon Neptune Analytics is redefining how businesses leverage complex, connected data. This comprehensive guide shows you how to harness its full potential to power graph-based insights, recommendation systems, network detection, and more-at scale. Whether you're a cloud architect, developer, or data scientist, this book offers hands-on mastery of AWS Neptune Analytics from fundamentals to advanced querying, vector similarity, and real-time applications. Inside this Practical Guide, You'll Learn How To: Build and query high-performance in-memory graph datasets Use openCypher for powerful graph traversals and analytics Run built-in graph algorithms (PageRank, WCC, BFS, etc.) Apply vector search techniques for hybrid AI solutions Create and load graphs from S3, Neptune DB, and snapshots Connect via AWS PrivateLink and secure your workloads Optimize queries and manage Neptune Analytics at scale Bonus Features: Real-world use cases for fraud detection, recommendation engines, and cybersecurity CLI and SDK code examples in Python, JavaScript, and AWS CLI Best practices for security, performance, and cost-efficiency If you're looking to gain a competitive edge with graph analytics on AWS, this book is your blueprint.


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Product Details
  • ISBN-13: 9798315831693
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 552
  • Returnable: N
  • Spine Width: 28 mm
  • Weight: 779 gr
  • ISBN-10: 8315831690
  • Publisher Date: 27 Mar 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: AWS Cloud Mastery: Building and Securing Applications
  • Sub Title: Architecting In-Memory Graph Analytics Solutions with openCypher, Vector Search, and AWS Services
  • Width: 152 mm


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Mastering AWS Neptune Analytics: Architecting In-Memory Graph Analytics Solutions with openCypher, Vector Search, and AWS Services(AWS Cloud Mastery: Building and Securing Applications)
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Mastering AWS Neptune Analytics: Architecting In-Memory Graph Analytics Solutions with openCypher, Vector Search, and AWS Services(AWS Cloud Mastery: Building and Securing Applications)
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