MongoDB, an industry-leading database platform utilized by companies like Google, UPS and Expedia, held its educational conference, MongoDB.local at the Cove @ UCI. The event featured keynote talks about advanced app design techniques, performance management and implementation and scalability best practices. MongoDB was founded in 2007 by Dwight Merriman, Eliot Horowitz and Kevin Ryan, the team behind DoubleClick, an internet advertising company that was acquired by Google in the same year.
Speakers presented to a full room of eager attendees who were ready to learn and implement the technology that continues to draw the attention of enterprise and startup companies alike. Keynote presentations included:
- Jumpstart: Building Your First Serverless App with MongoDB
- Messaging Platform with MongoDB Atlas @eHarmony
- Using Change Streams to Keep Up with Your Data
- Doing More with MongoDB Aggregation Network
- Analytics and Machine Learning with Spark and MongoDB
Female and male presenters centered their talks around common themes, such as flexibility and scalability in an ever-changing environment. in an ever-changing environment.
Originally suspicious of the rapid adoption rate and growth of MongoDB’s core database product by numerous companies, Gregori Melnik, Ph.D., head of product and server tools for MongoDB, mentioned that his feelings quickly changed to admiration after learning about the passion that developers and users felt for MongoDB’s simple interface, accessibility and document database structure.
“I can model anything with documents,” Melnik said. Stressing the need to stay adaptive rather than stagnant in a time where demand for large volumes of data continues to increase, Melnik stressed, “Your data model can evolve.”
Relational databases such as MySQL have been an industry standard since its release in 1995; however, given the changing nature of data types that require more flexibility that can fit the needs of web, mobile, social, and internet-of-things (IoT) applications, non-relational or “NoSQL” databases have emerged to help organizations that must adapt to thrive.
Providing an industry perspective, Elankumaran Srinivasan, senior software engineer at eHarmony, said that MongoDB was the obvious choice for the dating website’s redesign to solve for a communication challenge identified in the pre-existing version. Given the site contained important personal information provided by its customers, a database with consistency, flexible structure and disaster recovery features — all available with MongoDB — was essential, making it the right fit for eHarmony’s development team.
Following several keynotes and a session where attendees engaged in a Q&A with experts, Bryan Reinero, product manager for MongoDB, concluded with a final talk focused on analytics and machine learning in relation to MongoDB’s database product. Reinero touched upon Apache Spark, a system where several computers can operate in concert for big data processing, machine learning and, when combined with MongoDB, is capable of sophisticated analytic operations that yield meaningful insights.
To learn more about MongoDB and view keynote sessions from this event, visit https://www.mongodb.com/presentations/category/mongodb-events