Thursday, July 16, 2020 at 7:00:00 PM Online event

We, as data professionals, are dealing with increasingly large amounts of data. And, increasingly, we're asked to generate insights from this data. For that, the relationships between data points matter more than simple aggregations of individual data points. In our interconnected world, interconnected businesses, interconnected applications, graph databases lend themselves to answering relationship questions far more easily than...relational databases.

In this session we'll look at graph databases for:
- how to model graph databases
- how to easily express relationships between interconnected data
- how to efficiently retrieve interrelated data

We'll look at the MATCH predicate in T-SQL (MS SQL Server) and the MATCH statement in Cypher, the query language for Neo4j. Click here for event

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