Delivering Data with Dgraph: Graph Database Essentials
Learn how to model, query, and deliver highly connected data using Dgraph and GraphQL, designed for developers new to graph databases.
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AI instructor
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Start anytime
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In English
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About this course
Managing relational databases for highly connected data can be slow and complex. Dgraph simplifies this by providing a native GraphQL graph database built for speed and scalability. This text-only course guides you through the fundamentals of graph databases, showing you how to model, load, and query connected data efficiently. What you will learn: - Understand core graph database concepts, nodes, edges, and schema design. - Design and deploy Dgraph schemas using standard GraphQL syntax. - Query and mutate highly connected data using DQL and GraphQL. - Implement modern data delivery patterns, including Dgraph Lambda for custom logic. - Secure your graph database with access control and authentication basics. - Optimize query performance and understand scaling fundamentals. You will begin with foundational graph definitions before moving into hands-on schema creation, querying techniques, and modern deployment practices. This course is designed for beginner developers, data engineers, and architects who want to learn graph databases from scratch. No prior experience with Dgraph or GraphQL is required. Start reading today to unlock the power of connected data in your applications.
What you'll get
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Certificate of completion
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Personal AI tutor
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Lifetime access
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Phone or computer
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14-day refund
No questions asked -
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Short & focused
2h 36m of practical content
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We donโt store card details โ Stripe handles them securely.
Can I get a refund? +
Yes โ full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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