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MongoDB.local

MongoDB
.local Frankfurt

Join us at MongoDB.local Frankfurt for a day filled with educational breakout sessions, an announcement-packed keynote presentation, customer stories, free 1:1 Ask the Experts consulting sessions, networking opportunities, and more, all for free.
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Location

Klassikstadt (Map)
Orber Straße 4a
D-60386 Frankfurt

When

September 27, 2022
8:00 AM – 5:00 PM CEST

Register
  • IT Executive (CIO, CTO, VP Engineering, etc.)
  • Business Executive (CEO, COO, CMO, etc.)
  • Architect
  • Business Development / Alliance Manager
  • DBA
  • Technical Operations
  • Director / Development Manager
  • Product / Project Manager
  • Software Developer / Engineer
  • Mobile Developer
  • Business Analyst
  • Data Scientist
  • Student
  • Other
  • New to MongoDB
  • 1-3 years
  • 4-7 years
  • 8 or more years
  • Kosher
  • Halal
  • Vegetarian
  • Vegan
  • Other
  • None

What to expect

MongoDB.local Frankfurt will feature educational content designed to teach you technologies, tools, and best practices that make it easy to build data-driven applications without distraction. Some ways you'll learn:
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Keynote Presentation
The Keynote Presentation will recap the latest product releases and highlight exciting new features.
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Beginner, Intermediate, and Advanced Technical Sessions
Educational technical sessions selected specifically for this audience, delivered by the MongoDB experts who build the data platform.
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MongoDB Product and Feature Demos
Join the MongoDB product teams for demos of the latest products. Stop by the booths for swag, meet the product teams, and share your ideas with MongoDB and other community members.
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Customer & Community Stories
Hear from customers, community members, and power-users about how they're leveraging the MongoDB data platform to transform the way they work with data, and get to know real-time use cases for how these teams are getting their applications to market faster and more reliably with MongoDB.

Sessions include…

The Principles of Data Modeling for MongoDB
Creating a schema for a relational database is a straightforward process. Designing a schema for a MongoDB application may seem a little more challenging. However, it doesn't have to be if you follow the main principles that MongoDB has identified for its users. This talk will go over these data modeling principles. We'll also reveal modeling tips to address the constant changes in the data technology world like new features in MongoDB, hardware evolution, data lakes, and the growing impact of analytics.
MongoDB Data Mesh: MACH (Microservices, API-First, Cloud-Native, and Headless) Design Applied
The design concepts of MACH (microservices, API-first, cloud-native, and headless) are perfectly suited for MongoDB and mesh perfectly with the architectural concept of the data mesh. The introduction of Atlas Search, Data Lake, and the need for real-time capabilities make these two even more valuable for any architect or solution designer. Learn in this session using the example of payment processes what enrichment and polymorph data really mean for a vertical solution. The presented concept is easily transferable to any vertical or sector and makes the life of architects much easier.
Queryable Encryption - Next-Gen Security for Sensitive Workloads
  • Many applications with high-sensitivity workloads require enhanced technical options to control and limit access to confidential and regulated data. In some cases, system requirements or compliance obligations dictate a separation of duties for staff operating the database and those who maintain the application layer. In cloud-hosted environments, certain data are sometimes deemed too sensitive to store on third-party infrastructure. This is a common pain for system architects in the healthcare, finance, and consumer tech sectors — the benefits of managed, easily expanded compute and storage have been considered unavailable because of data confidentiality and privacy concerns.

  • This session will take a deep dive into Queryable Encryption, in Preview with MongoDB 6.0, that address these scenarios while preserving rich query expressivity. Utilizing groundbreaking technologies developed by our Advanced Crypto Research group, we will review how confidential data can be easily queried without leaking information about the data being queried or the query itself.

MongoDB Relational Migrator: Bring Your Relational Workloads to MongoDB with Confidence
Moving that old, slow application off of a relational database and onto MongoDB sounds like a great idea but has historically been a very challenging undertaking. In this session, we'll introduce MongoDB Relational Migrator, a new product from MongoDB that takes the pain away from modernization projects by helping with schema modeling and mapping, as well as replicating and transforming data from Oracle, MySQL, and SQL server databases.
Working with Time Series Data in MongoDB
Learn how you can work with Time Series data in MongoDB. We'll cover Time Series in MDB with a brief overview of Time Series collections (released in MDB 5.0), including all of the exciting new features and support added for 5.x rapid releases, such as sharding, online archive integration, new query expressions and aggregation stages, performance improvements, Time Series collection column compression, and more.