Hello and welcome to all MongoDB fans.
The second Krakow MUG meetup is coming and this time we are going back to the basics with talks such as RDBMS vs MongoDB and how to design effective schema for your application. We are also showing some real-life example of how to use MongoDB for efficient events aggregation and processing.
As we do not want you to get rusty, we have prepared a simple problem to be solved during the meetup. Best solution will be rewarded with some cool stuff like USB Rocket Launcher. Those who want to tackle the problem: take laptops with your favourite IDE and MongoDB installed.
As usual food, drinks and loot are sponsored by AVSystem.
After the meetup you can be cool and play some pool (Billiard table is reserved for meetup members).
• 18:00 Doors Open
• 18:20 MongoDB vs RDBMS. MongoDB provides a lot of features of RDBMS such as aggregation, upserts and secondary indexes. During the last meetup we mentioned the key differences between MongoDB and traditional RDBMS. In this talk we will compare MongoDB and RDBMS philosophies more thoroughly.
• 18:40 MongoDB Schema Design. MongoDB's flexible schema allows for document modelling which closely reflect application-level objects. The presentation outlines the main differences between traditional RDBMS and MongoDB schema design and focuses on best practices for data modelling in MongoDB including: (de)normalization, indexing strategies, embedding or referencing, growing data.
• 19:00 Coffee break.
• 19:20 Guest presentation. Ideas and suggestions are welcome. Have something to share with the Krakow MUG? Let us know and we will arrange for you to give a 20-minute presentation at the meetup.
• 19:45 Building high performance event aggregation engine with MongoDB. This presentation outlines a schema for collecting and processing real-time monitoring events of various types. The schema is being used as a part of the real life monitoring subsystem which aggregates events from hundreds of thousands of network devices and provides instant reporting and summary statistics such as mean and standard deviation.
• 20:10 Solve the problem, win the prize. If you do not want to participate in this small contest, please join us to talk about the MongoDB over a beer and billiard table.
See you at the club!
In the mean time chillout and listen to some standards.