In our latest Summer Tech Talks series webinar ScyllaDB Field Engineer Juliana Oliveira guided virtual attendees through a series of best practices on data modeling for Scylla.
I recently had the pleasure of exchanging a few questions and answers with Guy Shtub, Manager of Scylla University. Guy had some exciting news about a new module available for Scylla University users plus shared his insights into what else is in the works.
So you heard about Scylla and its superior performance. Maybe you have experience with Apache Cassandra, and are wondering what parts of that experience will you reuse and what you may have to learn anew. Or maybe you’re coming from a totally different background and want to know how to make Scylla fit best into your application environment. In this article we will cover in detail ten basic principles that help users succeed with Scylla. Some of them are also applicable to Apache Cassandra, and some stand in contrast to Cassandra recommendations. Free your mind, and read on! 1. Monitor […]
Let’s talk about a financial use case where streaming and near-real-time messaging is used through Kafka and Scylla. We will model a system that allows subscribers to follow stock prices for companies of their interest, similar to a simplified use of a trading terminal. Our system follows an architectural pattern in which updates of stock prices are pushed to a Kafka queue, and subscribers consume messages that contain company stock information. These consumed messages are then stored in Scylla instances, where they can be used later for more sophisticated analysis (for example, using an engine like Spark).