025 Exploring Data With Neo4j Bloom - NODES2022 AMERICAS Intermediate 10 - Jeff Gagnon.pdf

Learn how the latest updates for Neo4j Bloom make it even easier to visually explore and derive value from graph data, even with little to no coding. Join us for a walkthrough of some of the latest features, including scene actions, timezone and timeline analysis, graph data science integrations, and perspective auto-sync. We'll also review existing super helpful features like search phrases and deep links to provide a good sense of how Bloom can help analysts, data scientists, and developers alike.

1. © 2022 Neo4j, Inc. All rights reserved. 1
Exploring Data with Neo4j Bloom

2. © 2022 Neo4j, Inc. All rights reserved.
Introduction
We’ll look at four categories of new and/or useful updates in our very own
graph visualization application, Neo4j Bloom:

1.New Look & Feel

2.Features for Analysts

3.Features for Customization

4.Features for the Enterprise

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New Look & Feel
1.

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Refreshed Look
•Consistent with other tools
•Uses Neo4j Design Language
•Better Overall Experience
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Layout UI & Layout Settings
•Worth a special mention
•Easy to adjust layout settings
•Keep your eyes on this space!
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Workspace
•Key tools in one place
•Helps new users get started
•Better flow between tools
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Perspective Auto-sync
•Basic (free) version of Bloom &
Workspace Explore
•Updates perspective with new
Categories when new Labels
are detected
•Can be turned off in Settings
on standalone Bloom
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“Show me a graph”
•Basic (free) version of Bloom &
Workspace Explore
•Built-in Search Phrase for new
perspectives
•Helps new users get started
with a quick way to visualize
their data
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Features for Analysis
2.

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Dismiss Single Nodes
•Quickly clear all nodes with no
relationships attached from the
scene
•Available in the context menu
•Useful to focus analysis and
declutter the scene
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Select Related Nodes
•Highlight nodes connected to
the starting node
•Easily see connected clusters
•Move, dismiss, or dismiss other
nodes once related nodes are
selected
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Timezone Support
•Easily deal with dates & times
•Edit, filter and style with these
data types
•Translate time zones in scene
to help complex analyses

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Graph Data Science
•Quickly visualize some GDS
algorithms right in Bloom
•See how GDS can be applied
to your problem
•Try different algorithms before
applying to a larger dataset
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Features for Customization
3.

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Search Phrases
•A longstanding Bloom feature
•Developers can customize
common or useful searches for
their own use or for sharing
with colleagues
•Now found under “Saved
Cypher”
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Scene Actions
•A new type of Saved Cypher,
can be invoked from the
context menu
•Like Search Phrases, allows
developers to build custom
actions and share them via
Perspectives
•Scene Actions can now be
ordered as desired
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Deep Links
Web hosted Bloom
https://<server_hosting_Bloom> [:<https-port>]/bloom/[?<parameter>][&<parameter>]...

Desktop hosted Bloom
neo4j://graphapps/neo4j-bloom/[? <parameter>][&<parameter>]...

Example
http://1.1.1.1:7474/bloom/? search=employee%203115112 &perspective=HRM%20Perspective &run=true

•Another long standing Bloom
favourite
•Place links in other applications,
email, web pages etc.
•Can be used with Search Phrases
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Features for the Enterprise
4.

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Central Perspective Storage
•Another long standing feature
for Enterprise use cases
•Stores Perspectives in the
database
•Enables sharing Perspectives,
along with default styling &
Saved Cypher by database
Role
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Scene Saving & Sharing
•Since Bloom 2.0
•Enterprise customers can save
multiple scenes per
Perspective
•Must have write access to the
_BLOOM_SCENE_ label
•Share scenes to roles using the
‘Export’ icon

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Conclusion
•Neo4j Bloom helps make the
graph more useful to more
people

•Tooling to help analysts & data
scientists directly, as well as
developers who can quickly
tailor an experience for these
users