Graph data structures are quite intuitive and highly flexible. They’re used to conduct queries in databases and interconnect entities in data networks. Elixir, with its power of concurrency and data- and graph-aware packages, is the perfect language to explore graph data structures.
In this course, you’ll learn basic graph data structures and build a simple graph model. Next, you’ll build a testbed umbrella application to compare native graph structures with external databases. You’ll also learn to query graph database systems using Elixir packages Cypher and Gremlin with property graphs and SPARQL with RDF graphs. Next, you’ll learn how to transform data from one graph model to another. Finally, you’ll learn why property graphs are especially good at graph traversal problems while RDF graphs shine at integrating different semantic models and can scale up to web proportions.
After this course, you’ll be able to work with distributed graph datasets and manage data at scale.
Graph data structures are quite intuitive and highly flexible. They’re used to conduct queries in databases and interconnect ent...Show More
WHAT YOU'LL LEARN
An understanding of the basic graph data structures
Hands-on experience building native graph structures in Elixir
Ability to use graph-aware packages in the Elixir ecosystem
Ability to harness the concurrency of Elixir for distributed data across data networks
Ability to generate queries for graph databases with Cypher, Gremlin, and GraphQL
Ability to perform queries for linked open data with SPARQL
Ability to process and transform data from one graph model to another
An understanding of the basic graph data structures
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Content
1.
Getting Started
2 Lessons
Get familiar with graph data structures in Elixir, their applications, and query optimization.
2.
Part I - Graphs Everywhere
6 Lessons
Get started with graph data structures in Elixir, creating and querying versatile networks.
3.
Getting Started with the Project
11 Lessons
Work your way through setting up an Elixir umbrella project, graph store, and service API.
4.
Part II - Getting to Grips with Graphs
12 Lessons
Break down complex ideas using libgraph for native graph management and visualization in Elixir.
5.
Exploring Graph Structures
7 Lessons
Deepen your knowledge of creating, modeling, and querying graphs with Elixir's libgraph.
6.
Navigating Graphs with Neo4j
10 Lessons
Follow the process of managing Neo4j property graphs, including Cypher queries and bolt_sips integration.
7.
Querying Neo4j with Cypher
11 Lessons
Master querying Neo4j with Cypher for property graphs, book/ARPANET graphs, parameters, and schemas.
8.
Graphing Globally with RDF
14 Lessons
Step through RDF for global data integration, modeling, vocabulary, API services, and querying.
9.
Querying RDF with SPARQL
9 Lessons
Discover querying RDF graphs with SPARQL using various forms and practical applications.
10.
Traversing Graphs with Gremlin
8 Lessons
Master Gremlin in Elixir for efficient graph querying and service setup.
11.
Delivering Data with Dgraph
10 Lessons
Grasp the fundamentals of leveraging Dgraph for efficient data querying using GraphQL and DQL.
12.
Part III - Graph to Graph
12 Lessons
Map out the steps for transforming graph models, importing RDF, and federated querying.
13.
Processing the Graph
7 Lessons
Tackle Elixir's process management in graphs, building supervised nodes, preserving state, and simulating network resilience.
14.
Wrap Up
1 Lessons
Build on effective graph handling and Elixir tools for complex data relationship management.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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