Data quality isn't just a technical issue: It impacts an organization's compliance, operational efficiency, and customer satisfaction.
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Learn Graph Databases
Graph Databases, published by O'Reilly Media, is the definitive guide to graph databases. The book explores the benefits of graph databases vs. relational and other NoSQL databases. You'll discover all the ways that graph databases take a connections-first approach to reveal hidden relationships inside large, complex datasets.
Elsewhere, the book breaks down the various capabilities of graph databases including predictive analytics and data integration, as well as data visualization. There's also a section dedicated to graph database application architecture, including capacity planning and importing and loading bulk data.
Graph Databases includes helpful examples drawn from practical, real-world use cases, and also discusses the ecosystem of complementary technologies, highlighting what differentiates graph databases from other database technologies.
Topics include:
*Options for Storing Connected Data
*Data Modeling with Graphs
*Building a Graph Database Application
*Predictive Analysis with Graph Databases
And much more
