We are offering two in-depth, hands-on MongoDB workshops the day before MongoDB Days Germany. These workshops are perfect for enhancing your knowledge and use of MongoDB. Each session is led by a MongoDB engineer and limited to 15 students to ensure each student receives individual attention from a MongoDB expert. Expand your MongoDB knowledge at a MongoDB Advanced Data Modeling or MongoDB Diagnostics and Debugging workshop.
Please note that workshop tickets do not include admission to MongoDB Days Germany. Conference tickets can be purchased here.
MongoDB Advanced Data Modeling
This training workshop will enhance your understanding of the document model in MongoDB through a series of schema design exercises. Each exercise is designed to teach the techniques and patterns used to create a scalable and performant data model in MongoDB. Participants will gain insight into a data models' effect on CRUD operations, indexing, choosing optimal read preference and write concern as well as designing effective shard keys.
Getting familiar with MongoDB by taking an Essentials or Developer Fundamentals training class or any of the M101 online courses is strongly recommended.
MongoDB Diagnostics and Debugging
In this workshop, the instructor will introduce useful tools (both supported and external) and problem-solving approaches for a MongoDB deployment, including a series of real-world scenarios involving hardware, network, and other issues.
Getting familiar with MongoDB by taking an Essentials or Administrators Fundamentals training class or the M102 online course is strongly recommended.
Purchase of a training ticket(s) is subject to the following terms and conditions: Training Agreement
For questions or more details contact firstname.lastname@example.org.
When & Where
MongoDB University can help customers build, run and deploy applications on MongoDB through professional training and certification. The training enables organizations to improve developer and end-user experience, reduce time to market, decrease deployment and operational costs and lower business risk.