Graph Database introduction, deep-dive and demo with Amazon Neptune - AWS Virtual Workshop

With Amazon Neptune you can build and run identity, knowledge, fraud graph, and other applications with performance that scales to more than 100,000 queries per second. Neptune allows you to deploy graph applications using open-source APIs such as Gremlin, openCypher and SPARQL. Since Neptune is a fully managed database service, there is no need to worry about hardware provisioning, software patching, setup or backups. Many people are not familiar with graph databases which is why this workshop will introduce the cutting-edge use cases for graph databases that span fraud detection to personalization. This workshop will cover the architecture and all of the key features of Neptune. We will also use this time to do a demo of Neptune in action.
Learning Objectives:
* Objective 1: Understand the benefits of Amazon Neptune by going over use cases including fraud detection, personalization and advertising targeting.
* Objective 2: Dive deep into how open-source APIs can be used to deploy applications in Neptune.
* Objective 3: We will also use this time to do a demo of Neptune in action.
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[@alute2589]

Look who loves you back😊

[@santhoshVnair]

The last slide showed some links. Can you please update the notes section with the links from the last slide? Thanks.

[@justwiredme]

Thank you

[@arunbabu6370]

Hello sir...! I'm searching for a demo on bulk upload data(in Amazon Load Gremlin data fromat) in to neptune database which i cant find out... Currently I have a raw CSV file.. I need to convert my RAW CSV file in to nodes/vertices and edges CSV files... Please put a video demo on this topic ...It will be very useful.... I had successfully loaded demo nodes and edges file in to neptune db...but now I need to convert my raw CSV file in to nodes and edges csv files...please help me out..

[@AshokRaj-qx6in]

Hai bro ...did you know how to use json file with Amazon Neptune . Like how to extract text data from json file ....plz suggest me

[@toteraya]

54:36 Demo

[@YoMateo.]

Whoever's reading this, i pray that whatever you're going through gets better and whatever you're struggling with or worrying about is going to be fine and that everyone has a fantastic day! Amen