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Latest Videos

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.

Real Time Data at Scale meetup, hosted by Aiven - Helsinki, 28th November 2023

Recording from the Real Time Data at Scale meetup from November 28th, 2023, hosted by Aiven in collaboration with PingCAP. Join these meetup groups for future events: ABOUT AIVEN Aiven’s cloud data platform helps your business reach its highest potential by making your data work for you. It provides fully managed open source data infrastructure on all major clouds, helping developers focus on what they do best: innovate and create without worrying about the limitations of technology.

Find your perfect movie with ClickHouse, vector search, Hugging Face API, and Next.js

Get an introduction to machine learning using Aiven services and the Hugging Face API to recommend movies based on Wikipedia synopses. We'll build a project that uses vector search to find the perfect movie based on user input. We'll use ClickHouse®, a fast open-source column-oriented database, which already supports built-in vector comparison capabilities. To visualize our results, we'll rely on Next.js and to we'll get vector embeddings using some free tools and a HuggingFace model.

Optimizing Your Cloud Strategy | Achieving Flexibility, Longevity, and ROI

Watch this on-demand webinar to learn about key considerations to building your data management approach, including the importance of software choices and cloud tenancy. We will also deep-dive into what is BYOC (Bring Your Own Cloud) and how you can integrate this strategic imperative into your roadmap.

TensorFlow, Postgres, PGVector & Next.js: building a movie recommender

Learn how to build a movie recommender with TensorFlow, Postgres, PGVector, Javascript & Next.js. This is a series of videos where we build a project together step by step. Chapters: ABOUT AIVEN Aiven’s cloud data platform helps your business reach its highest potential by making your data work for you. It provides fully managed open source data infrastructure on all major clouds, helping developers focus on what they do best: innovate and create without worrying about the limitations of technology.

Aiven Workshop: Learn Apache Kafka with Python

What's in the Workshop Recipe? Apache Kafka is the industry de-facto standard for data streaming. An open-source, scalable, highly available and reliable solution to move data across companies' departments, technologies or micro-services. In this workshop you'll learn the basics components of Apache Kafka and how to get started with data streaming using Python. We'll dive deep, with the help of some prebuilt Jupyter notebooks, on how to produce, consume and have concurrent applications reading from the same source, empowering multiple use-cases with the same streaming data.