Home Specialist skills Artificial Intelligence Graph Databases for Data Analytics and AI
Graph Databases for Data Analytics and AI
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Identify what graph data is and why graph data is critical in today’s business environment
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Review how businesses and government agencies are using graph data
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Explore the differences among the many graph database platforms and the different file formats to transfer graph data
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Explore the difference in query languages for graph data and query graph databases to obtain specialised data and important insights
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Identify how human knowledge can be represented using knowledge graphs and construct a database of knowledge, as opposed to simple facts
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Use a “knowledge base” to infer new insights not present in the stored data
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Identify how the techniques of graph data and advanced neural networks can work together for advanced data analytic and artificial intelligence systems.
Overview
Off the shelf (OTS)
Graph Databases for Data Analytics and AI is a 3-day course, designed for Software Developers and Database Administrators who want to learn about graph databases. It’s not for IT staff with extensive graph database experience. A prerequisite is attendees should have some knowledge of the fundamentals of databases, but database experience is not required. Experience with some programming or scripting language is expected, but a detailed knowledge or Python is not required.
The course will cover how databases for graph data can support data analytics and artificial intelligence in ways not practical with traditional relational databases. Practical and profitable use cases and the importance of graph data in today’s world. It will also cover the practical aspects of importing and exporting data for graph databases, and how graph databases are searched and queried. Graph databases are also ideal for the representation of human knowledge, not just simple facts.
The course will look at how knowledgebase graphs integrate with artificial intelligence systems and show learners how to use these systems to provide business analyses and insights.
Delivery method
Face to face
Virtual
Course duration
22 hours
Competency level
Working
Delivery method
-
Face to face
-
Virtual
Course duration
22 hours
Competency level
-
Working
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