Graph Database & Gen AIMemgraph as a Graph DatabaseGraph Database Best Practices
Module
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2/3
3/3
Mastering Data Modeling
What is property graph (LPG) and what to consider when transforming your data into a graph model.

• Label property graph components

• Defining the requirements for your data model (nodes, properties vs relationships,...)

• From relational to a graph data model

• Lowering memory usage (which data types to use)
5 minutes, 32 seconds
The shortest path to import data into Memgraph
Learn about different ways to import data into Memgraph and optimization steps you can take to ensure the best import experience.

• Data import options in Memgraph

• How to power up your import? (techniques used)

• The fastest way to import data into Memgraph
4 minutes, 54 seconds
Query Optimization
Best practices for querying Memgraph and writing Cypher — so queries are executed quickly with the least amount of resources.
• Memgraph query engine (query plan)

• How to speed up query execution

• Optimizing deep-path traversals

• Extra tip on Cartesian queries
4 minutes, 38 seconds
About this course
Resources
Graph Database Best Practices
3 Modules
|
Resources: 9
|
Total: 15 Minutes
Katarina Supe
Head of Developer
Experience at Memgraph
Discover practical tips & tricks to effectively use Memgraph and achieve success in your graph projects.

• Understand the label property graph (LPG) model and how to adapt your existing data into graph data model.
• Learn all the ways you can load data into Memgraph, along with optimization techniques to ensure smooth and efficient data import.

• Master the art of querying Memgraph and writing Cypher queries for optimal performance, minimizing resource usage while maximizing speed.
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Master Graph Algorithms in Minutes
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