Joins, Aggregations & Many-to-Many Relationships: A Cheat Sheet
Want to get some practical tips on mashing up different data sources? You’ve come to the right place. Learn about various ways of combining data, how to avoid many-to-many relationships and more with this easily digestible guide.
Inside the Whitepaper:
- Different types of joins and when to use them
- Many-to-many relationships: what they are and how to avoid them
- Using Business Intelligence tools to join data sources
Data Mashups: A Cheat Sheet
“The most important aspect of understanding a many-to-many relationship is to know that they need to be avoided in order to ensure you have accurate data, no duplicate values, and your performance does not lag – a negative consequence of an M2M relationship that will ruin the user experience and discourage queries.”