Optimizing Data Models for Speed #ai #artificialintelligence #machinelearning #aiagent #Optimizing

@genaiexp Data model optimization is critical for improving application speed. Begin by normalizing data structures to reduce redundancy and enhance data integrity. However, be cautious, as over-normalization can lead to complex queries that slow down performance. Efficient indexing is crucial—ensure that your database is indexed on columns frequently used in WHERE clauses and joins. Additionally, analyze and optimize queries for performance, revisiting them regularly as your application evolves. Striking a balance between normalization and performance is key to achieving optimal speed.