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

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The Neo4j Bloom application allows those working with graphs to query graph databases sans the need to write code or a Cypher query. Use this course to learn how to use Neo4j Bloom to easily query a Neo4j graph database and achieve rich visualizations of query results.
Practice loading data onto a Neo4j database from CSV files. Work with Neo4j Bloom to run simple search queries on patterns in the nodes and relationships.
Moving along, explore some of the key features of the Bloom interface, including creating scenes showcasing the results of search queries and working with scenes using card lists. Learn to edit graphs using Bloom. And finally, work with the Bloom interface to find connections between nodes.
Upon completion, you’ll be able to use Neo4j Bloom to analyze a Neo4j database and give a rich visual representation to this analysis.

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Objectives

Working with Neo4j Bloom: Analyzing Graphs discover the key concepts covered in this course demonstrate the loading of data from various CSV files onto a Neo4j database illustrate the setting up of nodes and relationships, which can be analyzed using Neo4j Bloom demonstrate searching for specific nodes in a database using the Bloom search bar describe the various data views available in the Bloom user interface, such as the hierarchical and the presentation views use Neo4j Bloom to perform simple searches for patterns in the nodes and relationships in a Neo4j database analyze the elements returned from your searches using the card list feature in Neo4j Bloom configure the appearance of nodes and relationships in a Neo4j Bloom scene perform simple graph-related edit operations from the Neo4j Bloom interface and outline the types of edits permitted or not permitted on this interface use the Neo4j Bloom interface to analyze the nodes in your graphs, including the connections between them summarize the key concepts covered in this course