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How to securely query AWS S3 from ClickHouse

ClickHouse is a powerful analytical database, loading data from an AWS S3 bucket allows you to quickly start analyzing the data without having to download and upload them manually in the database. Writing data to S3 allows you to offload some cold data, while keeping all the hot data in ClickHouse and, with the usage of federated queries, being able to query both hot and cold data at the same time.

Aiven workshop: Data Persistence 101: Spring Boot and MySQL Edition

✨What's Cooking in Our Workshop✨ Persisting data is a crucial part of any application that you build. It’s not always easy to map your business objects with your relational database. One of the tools that can help you with this is called Hibernate ORM (for Object Relational Mapping). Join us in this workshop where we will learn the basics of Hibernate combined with the most popular Java App framework : Spring Boot and MySQL as a database.

Cloudversation with Aiven & Koo

Join us for an enriching Cloudversation featuring Koo, India's leading microblogging platform, and Aiven, a trusted open-source data platform. Uncover the secrets behind Koo's seamless connection and service to millions worldwide, powered by Aiven & Google Cloud's robust infrastructure. Don't miss this opportunity to delve into the insights that shape global communications with Google Cloud, Koo, and Aiven.

Enabling change data capture from MySQL to Apache Kafka with Debezium

Change Data Capture (CDC) is the process of tracking the changes happening in one or more database table in a source system and propagating them to a target technology. The objective of this video is to create a CDC flow from a source table in a MySQL database to Apache Kafka® via the Kafka Connect Debezium Source connector. Check out these resources to learn more.

Aiven workshop: Configure your app and data for Continuous Delivery with Netlify

What's in the Workshop Recipe? Continuous deployment is a powerful technique, allowing a web application and associated data to be automatically published when the software changes. In this workshop, we’ll show you how to set up an existing application, that uses PostgreSQL and Redis as backend services, for continuous delivery of itself and its data. Using your own fork of the application’s GitHub repository, we’ll show you how to add Netlify integration, so that the app (and its data) can be deployed when a change is pushed to the repository.