Optimizing processes to improve availability, performance and quality requires collecting large sets of data. Some parts of the data need to be analyzed in real time close to the machines. Additionally, there are needs to consolidate data sets across factories, countries and continents by leveraging public cloud provider infrastructure to create single views, operational data stores, train machine learning models and much more.

In this webinar, we explained how you can efficiently store and analyze data in soft real time in a self managed environment close to the shop floor and also in the public cloud with our fully managed data platform MongoDB Atlas. We explained features such as automated data tiering to reduce cost and federated queries to analyze data across hot and cold data storage through a single API endpoint. We also showed you how to can analyze data and create nice visualization with MongoDB Charts, Grafana and the MongoDB SQL API including connectors for Tableau and Power BI.

Learn how to connect your favorite BI tool to MongoDB to create comprehensive dashboards, drive data analytics and gain insights. Watch this webinar where we break down the variety of integration options available with MongoDB, accompanied by realistic examples using shop floor data.