Visualize all the data! A guide to visualizing graphs from any source
- Date: 18 October 2018
- Time: 4pm GMT, 8am PDT, 11am EDT, 5pm CET
- Duration: 45 minutes + Q&A
Many people think that to visualize graph data, you need a graph database. That’s not necessarily true. In this session, we’ll explain how to get started with graph visualization using any database, API, or even just a CSV file.
KeyLines is a datasource-agnostic graph visualization toolkit. In short, if your data has connections, KeyLines will visualize it – regardless of how or where it’s stored. In this webinar, graph visualization expert, Christian Miles, will explore the wide selection of databases, APIs and files that can be converted for visualization in KeyLines.
He’ll cover the benefits of working with different back-ends, how to combine multiple datasources into a single view, how to work with dynamic data and some common conversion pitfalls. He’ll also give a glimpse of the deep interactivity of KeyLines – no matter where your data is from.
Formats covered include:
- Databases: graph, relational, time series, key value stores (Neo4j, ArangoDB, DSE, Titan/JanusGraph, TigerGraph, MemGraph…)
- Files: JSON, CSV, Excel
- APIs: REST, GraphQL
There’ll be plenty of time to answer questions. If you can’t make the live session, register anyway and we’ll send a recording afterwards.
Presenters
Christian Miles
Technical Sales (North America) – Cambridge Intelligence
Since completing his Masters in Maths & Computer Science at Bristol University, Christian has specialized in network visualization software for global enterprise deployment.
In his roles at BAE Systems and the Wynyard Group, Christian’s focus has been applying graph network analysis in Financial Crime, Cyber and Law Enforcement domains.
Sam Duby
Technical Sales (EMEA) – Cambridge Intelligence
Sam is our Technical Sales person for the EMEA region. With extensive commercial experience and a solid technical background he is ideally placed to ensure customer projects are a success. Prior to joining Cambridge Intelligence, Sam worked in the oil and gas technology sector.
Sam is based in our Cambridge, UK, office but travels extensively.
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