Recording from the India Open Source Data Infrastructure Meetup, Bengaluru, October 22, 2023, hosted by Aiven and CRED.

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.

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.

🎉 Calling All Open Source Enthusiasts! 🎉 Are you passionate about open source and cloud technologies? Do you have a special affinity for Hacktoberfest? Or perhaps, you're interested in the Klaw project and want to know more about its role at Aiven? Look no further! This is the livestream you've been waiting for!

🎉 Level Up Your Kafka Game: Must-Watch Livestream on Tiered Storage! 🎉 Hey data fans and Kafka pros! Ready for a deep dive into Kafka Tiered Storage? Don't miss this!

A brief overview of some of the key features and improvements in Klaw 2.5.0. A redesigned Topic Overview allowing all day to day operations to be completed in the new React UI with an improved user experience, new features like editing an open Topic Request and improvements to syncing of schemas from a cluster are all on display.

Struggling with data complexities in distributed apps? Watch our webinar with Google Cloud and TechCrunch on mastering cloud-native data! Join Aiven’s Matty Stratton and Google’s Kaslin Fields, as they guide you through the steps to manage the data on your distributed applications. By leveraging data’s inherent gravity, it can be used across all components of your applications.

In this video you’ll learn how to build an offline face recognition pipeline to find faces on top of complex pictures. The full written explanation is available in the dedicated article The pipeline will use: Python and OpenCV to detect faces within complex pictures Python and an OpenAI CLIP model to calculate the face embeddings PostgreSQL and the pgvector extension to store the embeddings and calculate distance across them.