Talk: Addressing the Big Data Challenge with Graphs
Graphs are everywhere. From websites adding social capabilities to Telcos providing personalized customer services, to innovative bioinformatics research, organizations are adopting graph databases as the best way to model and query connected data. If you can whiteboard, you can model your domain in a graph database.
In this session Emil Eifrem provides a close look at the graph model and offers best use cases for effective, cost-efficient data storage and accessibility.
• Understand the model of a graph database and how it compares to document and relational databases
• Understand why graph databases are best suited for the storage, mapping and querying of connected data
• A vendor-neutral look at the current implementation of graph databases in a wide array of industries
Emil is the founder of Neo4j, the most widely deployed graph database on the planet, CEO of its commercial sponsor Neo Technology and a co-author of the O'Reilly book Graph Databases. He plans to save the world with graphs and own Larry's yacht by the end of the decade. He tweets at @emileifrem.
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