Chander Dhall, serves as the CEO of Cazton, a renowned organization specializing in data modeling and partitioning, particularly in the realm of Microsoft Azure Cosmos DB. With extensive expertise in the field, Mr. Dhall, along with his team at Cazton, has developed over 30 distinct patterns tailored for NoSQL databases, including Azure Cosmos DB and MongoDB.
During this insightful presentation, Mr. Dhall adeptly demonstrates the intricacies of data modeling and partitioning, advocating the adoption of problem-specific patterns to optimize both request time and query speed. By showcasing real-life examples of challenges encountered during database design, he effectively highlights the criticality of meticulous data modeling.
Mr. Dhall emphasizes that employing the appropriate data modeling patterns can yield remarkable results, leading to a reduction in total request time by an impressive 75-86%, while concurrently enhancing query time and output document size by a staggering 99%.