Aspire     Graph Analytics     Graph Analytics Track 2: Graph Analytics with Neo4j

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The Neo4j AuraDB cloud database service enables developers
creating graph applications to focus on the same and not bother about database administration. Take this course to create and load an AuraDB database and integrate it with various tools in the Neo4j ecosystem.
Practice setting up a free AuraDB account and provisioning an empty Neo4j cloud database. Learn how to migrate data to the database. Then, analyze data in an AuraDB database with the web-based Neo4j Bloom application.
Moving along, practice writing a Python application to query an AuraDB database. Work on connecting with and running queries on the database using Cypher Shell.
Upon completion, you’ll be able to work with the Neo4j AuraDB cloud tool in order to simplify database administration for graph applications.

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Objectives

Database-as-a-Service with Neo4j: The AuraDB Cloud Database Service discover the key concepts covered in this course use the Aura web interface to create a Neo4j AuraDB database instance on the cloud generate a dump file for a local Neo4j database and use it to populate an Aura instance use the command line interface (CLI)-based push-to-cloud tool to migrate the contents of a local Neo4j instance to an Aura database analyze the contents of an Aura database using the web-based Neo4j Bloom utility write a Python application to modify and read the contents of an Aura database connect to an Aura database using Cypher shell and run queries against it summarize the key concepts covered in this course