Live event
Learn the principles of building reliable, scalable, and maintainable data systems
With Martin Kleppmann, Chris Riccomini, and Tzach Livyatan
Event description
Join us for a conversation with Martin Kleppmann and Chris Riccomini, authors of Designing Data-Intensive Applications, second edition, and Tzach Livyatan, VP of product strategy at ScyllaDB, to explore principles and best practices for developing distributed data systems. Hear about the new technologies and trends that have emerged since the acclaimed first edition was published in 2017. Ask questions, listen to stories, and connect with other readers.
What you’ll learn and how you can apply it
- Peer under the hood of the systems you already use and learn to use them more effectively
- Make informed dec…
Live event
Learn the principles of building reliable, scalable, and maintainable data systems
With Martin Kleppmann, Chris Riccomini, and Tzach Livyatan
Event description
Join us for a conversation with Martin Kleppmann and Chris Riccomini, authors of Designing Data-Intensive Applications, second edition, and Tzach Livyatan, VP of product strategy at ScyllaDB, to explore principles and best practices for developing distributed data systems. Hear about the new technologies and trends that have emerged since the acclaimed first edition was published in 2017. Ask questions, listen to stories, and connect with other readers.
What you’ll learn and how you can apply it
- Peer under the hood of the systems you already use and learn to use them more effectively
- Make informed decisions by identifying the strengths and weaknesses of different tools
- Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
- Understand the distributed systems research upon which modern databases are built
- Peek behind the scenes of major online services and learn from their architectures
Schedule
Interactive discussion and Q&A (60 minutes)
This session will be followed by a 30-minute discussion and demo session in a breakout room. Join us to learn about ScyllaDB and ask your questions. (30 minutes)