Charting a Course for Graph Project Success
Graph technology helps organizations detect fraud, assess risks, and understand complex connected data.
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There are a few different elements to take into consideration for your technical set-up.
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Decide what graph database you will use.
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Define your indexation strategy and choose your indexation solution accordingly.
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Finally, you’ll need to extract your data.
Graph data model.
The model you choose will depend on your data sources and business requirements. This is the step where you’ll determine what in your dataset(s) will be nodes, edges, and properties.
Hardware requirements
Will you opt for server delivery or cloud infrastructure delivery?
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graph data modeling
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Set up your architecture and model your data
Installation & configuration
The next step is to install and configure your graph tools. The first thing to do here is to install and configure your graph database. Then, you can import your data.
Connect DV
Indexing
Access Control
Schema
Visual Styles
After that, you can set up your graph visualization and analytics tool. If you’re using
Linkurious Enterprise
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Graph Database Access
Give Linkurious Enterprise access to your graph database. Configure the connection endpoint, credentials, and SSL certificates.
Once you’ve set up and configured your graph tools, the next step is to onboard your team and make sure they have the knowledge and skills they need to succeed.
This may include learning a graph query language like Gremlin or Cypher. You can also hold training sessions for administrators and for end-users to ensure they are at ease and able to get the full benefits from your graph tool.
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Training and support from your vendor for both administrators and end-users will help ensure they are at ease and able to get the full benefits from your graph tool.
Set up your team for success
Assessing the business value of your graph project should be done progressively, in several phases.
Assess the business value of your graph project
Resources
Explore insights, guides, and expert content to help you get more from your data.
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