Semantics and the MarkLogic NoSQL Database
Learn MarkLogic semantics! This hands-on course gets you started with semantic technology for your data. Practical skills for knowledge graphs & more.
Course Content
Semantics and the MarkLogic NoSQL Database is an intermediate-level Udemy course taught by MarkLogic University. It runs 7h 56m and is taught in English. Learners rate it 4.5 out of 5 from 137 reviews, with 12,692 students enrolled. It is free to enroll, first published August 2016.
Unlock the Power of Semantic Data with MarkLogic & RDF/SPARQL
Dive into the world of semantics and triples with this practical, hands-on training course. Learn how to leverage MarkLogic, an enterprise NoSQL multi-model database, as a powerful graph database for storing and querying data using RDF and SPARQL open standards.
This 8-hour course empowers you to:
- Understand Semantic Technologies: Discover how organizations are utilizing semantics and the origins of triples. Learn how to create and manage triples effectively.
- Master RDF & SPARQL: Gain proficiency in using RDF and SPARQL for querying and manipulating semantic data.
- Utilize MarkLogic as a Graph Database: Learn how to load, store, and manage triples within the MarkLogic database. Understand the benefits of using a multi-model database for graph applications.
- Optimize Query Performance: Learn to generate triple indexes to significantly improve query speed.
- Advanced Querying Techniques: Write complex SPARQL queries and utilize path expressions to traverse graph structures.
- Knowledge Inference: Discover how to use inferencing to automatically derive new knowledge from existing triples.
- Data Management: Learn how to efficiently update triples within MarkLogic.
- Integrate with Diverse Data: Explore how a multi-model database allows you to combine triples with other data types like XML, JSON, and binary documents for comprehensive real-time searches and transactional applications.
Hands-on Learning: You'll receive a free virtual machine to follow along with the instructor and gain practical experience throughout the course. This immersive approach ensures you can immediately apply your new skills. This course is ideal for anyone looking to build intelligent applications with semantic data.
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