Sponsor Presentation—Breaking Away from the Empire: Avoiding the Evil Clutches of If-Then Statements

Break free from if-then statements and discover the power of graph theory and graph databases to optimize your data structure and unlock complex relationships.

Key takeaways

Avoid using if-then statements and instead learn graph theory and graph databases to optimize your data structure.
Graph theory is not complicated and can be easily learned, making it a good skill to have.
Graph databases are flexible and allow for many-to-many relationships.
Start by understanding the connections between data points and then move on to refining the data structure.
Use a graph database like Neo4j with a query language like Cypher to optimize your data.
Query language like Cypher can be used to aggregate data and calculate distances.
Understand the relationships between nodes and their properties.
Use similarity algorithms to find similar nodes.
Leverage different weights to prioritize certain relationships.
Graph databases can be used in many industries, including but not limited to star wars.
Cypher query language is easy to learn and allows for complex queries.
Graph theory is a small lift and can be learned by anyone.
Graph databases are scalable and efficient.
Pathfinding algorithms can be used to optimize data retrieval.
Data scientists can use graph theory and graph databases to create complex models.
Graph databases can be used for clustering and classification.

Sponsor Presentation—Breaking Away from the Empire: Avoiding the Evil Clutches of If-Then Statements

More talks