Graph Databases for Data Analytics and AI
Course Outline
In this Graph Databases for Data Analytics and AI Training course, you will learn how databases for graph data can support data analytics and artificial intelligence in ways not practical with traditional relational databases. You will see practical and profitable use cases and understand the importance of graph data in today’s world. You will master 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. You will understand how knowledgebase graphs integrate with artificial intelligence systems and learn to use these systems to provide business analyses and insights.
Graph Databases for Data Analytics and AI Benefits
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In this course, you will:
- Learn what graph data is and why graph data is critical in today’s business environment.
- See how businesses and government agencies are using graph data.
- Explore the differences among the many graph database platforms.
- Understand the different file formats used to import and export graph data.
- Query graph databases to obtain specialized data and important insights.
- Understand the differences among the different query languages for graph data.
- Learn how human knowledge can be represented using knowledge graphs.
- Construct a database of knowledge, as opposed to simple facts.
- Use a “knowledgebase” to infer new insights not present in the stored data.
- Understand how the techniques of graph data and advanced neural networks can work together for advanced data analytic and artificial intelligence systems.
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Training Prerequisites
Attendees should have a general understanding 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.
Graph Databases for Data Analytics and AI Training Outline
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