Modeling relationships and hierarchies is a fundamental topic taught in university – for relational databases. Document databases are quite different, and our approach to such modeling should be different as well. So how do we do it?
In RavenDB 5.4, we’re introducing new ELT features for Kafka and RabbitMQ. Now, instead of your documents just sitting there in your database, you can involve them in your messaging transactions. In this webinar, RavenDB CEO Oren Eini explains how these ETL tasks open up a whole new world of architectural patterns, and how they spare you from a lot of complexity when you want to involve your data in pub/sub or other messaging patterns.
In this webinar, RavenDB CEO Oren Eini shows you how to get the most out of your document database by taking advantage of what you can do with ease by embracing the modern way to model your data.
Among the advantages of a highly distributed system with endless edge points are that you can outsource data collection to a universe of locations, and even include them in your workflow, thereby expanding your operations. The challenges are when you have endpoints that contribute to your organization and systems, but you don’t exactly trust. They can be newcomers that you don’t know enough about, or entities with a history of misusing the data inclusion to your systems give them access to. You want the value they create, the information they amass and gather to be copied from the edge up the levels of your system, but you don’t want to give too much for that value or pay for it in the form of greater risk. Filtered replication is the art of enabling nontrusted edge points to access your system in a limited manner, replicating the information they produce in a nontrusted format.
RavenDB is built to be your main database. It’s the system of record where you store all of your information. To minimize complexity, work, and cost, RavenDB also contains a fully-fledged full-text search engine. You can perform full text searches, but you don’t need a plugin or addon. This enables you to find interesting documents based on quite a lot of different criteria.
In this Webinar, I show how you can run all sort of interesting queries and show off some of RavenDB’s full text search capabilities.
The recording of yesterday’s webinar is out. You can hear how Ryan has built the Tended app using RavenDB, to allow seamless integration of medical data across wide variety of devices, using RavenDB as the backend database.
The recording is now available…
The recording is now available here:
The recording for using RavenDB as queueing infrastructure is ready.
Today I’m going to be talking about ACID and how it plays out in RavenDB and in MongoDB.