The keys to success in the digital age are how quickly you can build innovative applications, scale them, and gain insights from the data they generate – but legacy systems hold you back.
MongoDB application data platform extends the core technology of MongoDB to support additional application data workloads such as search, mobile & edge data, real-time analytics, data engineering, and more. Companies can move fast and simplify how they build with data for any application, and innovate their digital transformation by using MongoDB Atlas (fully-managed cloud database by MongoDB), to its full potential on Google Cloud.
Topics we covered:
- MongoDB Application Data Platform
- Using MongoDB Change Streams and Google Cloud Pub/Sub to do real time data syncronization into BigQuery
- Using BigQuery ML to train a machine learning model to derive insights, and fed back into MongoDB to enrich front-end user experiences
Gabriel Woo, Regional Vice President, MongoDB
Cathlon Lau, Advisory Solutions Architect, MongoDB
William Tsoi, Customer Engineer & Data Analytics Specialist, Google Cloud