As the summer months wind down and we enter autumn with cooler temperatures, the team has diligently prepared the next major milestone of Debezium. It’s my pleasure to announce the immediate release of the next minor version, Debezium 2.4.0.Final.
As the team begins the journey toward the next development iteration, let’s take a moment and review all the new features, changes, and improvements that are included in Debezium 2.4, which includes 231 issues resolved by 68 unique contributors.
In the previous blog post, we have shown how to leverage Debezium to train neural-network model with the existing data from the database and use this pre-trained model to classify images newly stored into the database. In this blog post, we will move it one step further - we will use Debezium to create multiple data streams from the database and use one of the streams for continuous learning and to improve our model, and the second one for making predictions on the data. When the model is constantly improved or adjusted to recent data samples, this approach is known as online machine learning. Online learning is only suitable for some use cases, and implementing an online variant of a given algorithm may be challenging or even impossible. However, in situations where online learning is possible, it becomes a very powerful tool as it allows one to react to the changes in the data in real-time and avoids the need to re-train and re-deploy new models, thus saving the hardware and operational costs. As the streams of data become more and more common, e.g. with the advent of IoT, we can expect online learning to become more and more popular. It’s usually a perfect fit for analyzing streaming data in use cases where it’s possible.
As the summer concludes for us in the north and we await the autumn colors, the team has been busy preparing for the next major release of Debezium 2.4. It’s my pleasure to announce today that we are nearly there with the release of Debezium 2.4.0.CR1. The focus for this release is primarily on stability; however, we do have a few new last minute addititons that we should highlight, so let’s dive right in, shall...
It has been nearly two weeks since our last preview release of the Debezium 2.4 series, and I am thrilled to announcement the next installation of that series, Debezium 2.4.0.Beta2.
While typically beta releases focus on stability and bugs, this release includes quite a number of noteworthy improves and new features including a new ingestion method for Oracle using OpenLogReplicator, a new single message transform to handle timezone conversions, custom authentication support for MongoDB, configurable order for the MongoDB aggregation pipeline, and lastly support for MongoDB 7.
Let’s take a few moments and dive into all these new features, improvements, and changes in more detail.
The Debezium UI team continues to add support for more features, allowing users to configure connectors more easily. In this article, we’ll describe and demonstrate how to provide the additional properties for configuration that the UI does not expose by default. Read further for more information!