Get Kafka-Nated Episode 6
Join Hugh Evans as he chats with Ben Gamble, Field CTO at Ververica and one of the original creators of Apache Flink, about the magic of combining Kafka and Flink for modern streaming analytics.
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Get Kafka-Nated Episode 5
In this episode, Hugh Evans sits down with Satish D, senior engineer at Uber and a driving force behind KIP-405, to unpack tiered storage in Apache Kafka. We go beyond the basics to explore the real challenges, design decisions, and community collaboration that made this architectural change possible.
Replacing cron jobs and dbt pipelines with ClickHouse Refreshable Materialized Views
For ClickHouse to achieve the speed it's known for, it has historically relied on a trigger-based and incremental architecture for materialized views. This architecture is known to be very efficient but lacks flexibility, such as when working with data that needs to be backfilled rather than append-only.
Get Kafka-Nated Episode 4
Join Hugh Evans and Alex Merced from Dremio as they explore the future of streaming data with Apache Iceberg. In this episode, we dive into how Iceberg is transforming the way data lakes work, making it easier for engineers to manage, query, and stream data efficiently.
Elephant in the Room, Episode 1: Working with Long Form Text in PostgreSQL and Django
Welcome to “Elephant in the Room – Presented by Aiven. In this new live series, we dig into the real-world challenges developers face when building modern applications on PostgreSQL, the elephant everyone depends on but few truly understand. Episode 1: Join Jay Miller, Staff Product Advocate at Aiven, and special guest Jeff Triplett, Partner & Engineer at REVSYS and long-time Django community leader, as they explore how developers can harness PostgreSQL’s native text-search capabilities to build faster, smarter, and more efficient applications.
Get Kafka-Nated Episode 3
Join us for Episode 3 of Get Kafka-Nated, where host Hugh Evans sits down with Greg Harris, Staff Software Engineer and the driving force behind KIP-1150, to explore the future of cloud-native Apache Kafka. In this episode, we dive into diskless Kafka — a bold reimagining of Kafka’s architecture that moves data from broker disks to object storage. Greg explains the technical challenges, the operational benefits, and the broader implications for Kafka users.
Open Source & The New Era of AI Data Infrastructure - Aiven for Startups at Slush
There’s a foundational shift underway in the data infrastructure behind AI-native applications. In this fireside chat, we break down the technical requirements that make today’s data infrastructure dramatically different from what it used to be and what builders need to understand to keep up. In this talk, top founders defining the industry, Rebecka Storm, Co-Founder and CPO of Twirl (Acquired by Modal) and Heikki Linnakangas, Co-Founder of Neon (Acquired by Databricks) will dive deep into theme of AI data infrastructure and open source, moderated by Oded Valin (Aiven).
Building agentic RAG with PostgreSQL and n8n
We’ve all built the standard RAG pipeline: chunk data, embed it, store it, retrieve it. It works… maybe. Just like LLMs have added a thinking mode for better results, we can add a bit of thinking to our RAG pipelines with agentic RAG using PostgreSQL and n8n.
Get Kafka-Nated Episode 1
Grab your cup and prepare to Get Kafka-Nated! In this series, we’ll be digging into everything Apache Kafka, from the pre-history of Kafka to the latest Kafka Improvement Proposal (KIP). We’ll be joined by a range of guests who have been at the forefront of Kafka for many years.
Kafka To ClickHouse in 6min
Learn how to stream data from Kafka into ClickHouse using Aiven’s integration wizard. In this demo, we show you how to generate sample logistics data in Kafka, configure the integration to map Avro-formatted fields, and connect to ClickHouse to view and query the ingested data. We also demonstrate how to create a materialised view in ClickHouse to store and query streamed data efficiently, making real-time analytics fast and easy.