Confluent Blog

One of the most common relational database systems that connects to Apache Kafka® is Oracle, which often holds highly critical enterprise transaction workloads. While Oracle Database (DB) excels at many

This a summary of Podium’s technological journey and an example of how our engineering team is tooling ourselves to scale well into the years to come. Here at Podium, we’re

This article describes why Bolt, the leading European on-demand transportation platform that operates across ride-hailing, food delivery, and e-mobility sectors, has journeyed toward adopting change data capture (CDC). Adopting CDC

Change Data Capture (CDC) is an excellent way to introduce streaming analytics into your existing database, and using Debezium enables you to send your change data through Apache Kafka®. Although

First, what is event sourcing? Here’s an example. Consider your bank account: viewing it online, the first thing you notice is often the current balance. How many of us drill

One of the most frequent questions and topics that I see come up on community resources such as StackOverflow, the Confluent Platform mailing list, and the Confluent Community Slack group,

In this post I’m going to show what streaming ETL looks like in practice. We’re replacing batch extracts with event streams, and batch transformation with in-flight transformation. But first, a

This is a guest blog from Robin Moffatt. Robin Moffatt is Head of R&D (Europe) at Rittman Mead, and an Oracle ACE. His particular interests are analytics, systems architecture, administration, and