Event-driven Utopia

Everything in Kafka is modeled around partitions. They rule Kafka’s storage, scalability, replication, and message movement.

How these two non-JVM based products make stream processing accessible for the masses by reducing the operational overhead

There are three distinct ways that Microservices can interact over a network: commands, events, and queries. Explore them before using.

Friends don’t let friends do dual writes!

How to speed up and scale-out inter-service queries using a dedicated materialized view database that caches queries.

How Pinot solves the toughest problems in the data analytics today with its low-latency, high throughput query capabilities

Join a stream with a lookup table to enrich the content and produce a materialized view. Then use Debezium to synchronise the lookup table…

Leveraging stateful stream processing to maintain materialized views that are incrementally updated

Learn the fundamentals of materialized views, how they reduce the cost of read queries, and what options they offer to synchronise with…

How Materialize disrupts the stream processing landscape by enabling developers to build real-time applications with standard SQL.