MongoDB.local London 2019

These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, Sander De Vos, Solutions Architect EMEA Belgium, will take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.

Today an increasingly large number of MongoDB customers use machine learning and AI to deliver a great personalized user experience, and workplace software is no exception. Spoke goes beyond traditional ticketing with their friendly, AI-powered chatbot that gives workplace teams hours of time back as it automatically responds to questions on Slack, email, SMS, and web. Learn how Spoke uses MongoDB to do dynamic model training in real-time and serves thousands of models, with multiple customized models per client, as well as MongoDB features, such as flexible data model, powerful indexing capabilities, support for Python data science frameworks, and more which make this possible.

Data administrators face the challenge of integrating disparate data technologies into a cohesive and performant data platform. This is especially true when using diverse query languages and protocols. This session will focus on how to integrate SQL-aware applications into a MongoDB data platform.

Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.