Getting Started with Amazon Neptune Graph Database скачать в хорошем качестве

Getting Started with Amazon Neptune Graph Database

Learn how to launch, configure and connect to Amazon Neptune, a fast graph database optimized for the AWS cloud. See key options like serverless setup to avoid managing clusters yourself and built-in Jupiter notebooks for running Gremlin queries visually plus a Graph Explorer for data visualization. Useful introduction for anyone looking to leverage Neptune for property graph models on AWS. 0:00 Intro to Neptune 0:20 Database options 0:48 Notebooks 1:04 Configuration 1:22 Connecting notebooks 1:41 Query languages 2:14 Graph visualization 2:48 Summary Hey readers 👋, if you enjoyed this content, I wanted to share some of my favorite resources to continue your learning journey in technology! Hands-On Courses for Rust, Data, Cloud, AI and LLMs 🚀 Rust Programming Specialization: https://www.coursera.org/specializati... Rust for DevOps: https://www.coursera.org/learn/rust-f... Rust LLMOps: https://www.coursera.org/learn/rust-l... Rust Fundamentals: https://www.coursera.org/learn/rust-f... Data Engineering with Rust: https://www.coursera.org/programs/duk... Python and Rust with Linux Command Line Tools: https://www.coursera.org/learn/python... Virtualization, Docker, and Kubernetes for Data Engineering: https://www.coursera.org/learn/virtua... Cloud Machine Learning Engineering and MLOps: https://www.coursera.org/learn/cloud-... MLOps Tools: MLflow and Hugging Face: https://www.coursera.org/learn/mlops-... Data Visualization with Python: https://www.coursera.org/learn/data-v... Linux and Bash for Data Engineering: https://www.coursera.org/learn/linux-... Spark, Hadoop, and Snowflake for Data Engineering: https://www.coursera.org/learn/spark-... Cloud Virtualization, Containers and APIs: https://www.coursera.org/learn/cloud-... Cloud Data Engineering: https://www.coursera.org/learn/cloud-... Python Essentials for MLOps: https://www.coursera.org/learn/python... DevOps, DataOps, MLOps: https://www.coursera.org/learn/devops... Web Applications and Command-Line Tools for Data Engineering: https://www.coursera.org/learn/web-ap... MLOps Platforms: Amazon SageMaker and Azure ML: https://www.coursera.org/learn/mlops-... Scripting with Python and SQL for Data Engineering: https://www.coursera.org/learn/script... Python and Pandas for Data Engineering: https://www.coursera.org/learn/python... Cloud Computing Foundations: https://www.coursera.org/learn/cloud-... 📚 Must-Read Books: Practical MLOps: https://www.amazon.com/Practical-MLOp... Python for DevOps: https://www.amazon.com/gp/product/B08... Developing on AWS with C#: https://www.amazon.com/Developing-AWS... Pragmatic AI Labs Books: https://www.amazon.com/gp/product/B09... 🎥 Follow & Subscribe: Pragmatic AI Labs YouTube Channel:    / @pragmaticai   52 Weeks of AWS Podcast: https://52-weeks-of-cloud.simplecast.com noahgift.com: https://noahgift.com/ Pragmatic AI Labs Website: https://paiml.com/ Your adventure in tech awaits! Dive in now, and elevate your skills to new heights. 🚀