I will discuss the experience at LinkedIn and elsewhere moving from batch-oriented ETL to real-time streams using Apache Kafka. I’ll talk about how the design and implementation of Kafka was driven by this goal of acting as a real-time platform for event data.
I will discuss the experience at LinkedIn and elsewhere moving from batch-oriented ETL to real-time streams using Apache Kafka. I’ll talk about how the design and implementation of Kafka was driven by this goal of acting as a real-time platform for event data.
Podcast: Play in new window | Download (Duration: 59:47 — 137.9MB) | Embed
In this talk, Hive and Cassandra author (and Hive committer and PMC member) Edward Capriolo will discuss common big-data software challenges and how they can be solved using both batch and stream processing. Technology focus will primarily be on Apache Kafka for publish-subscribe messaging, Storm for stream processing, and Apache Cassandra as a NoSQL data store.
Podcast: Play in new window | Download (Duration: 1:03:28 — 232.4MB) | Embed
From the abstract: Get introduced to the Vaadin framework by one of its core developers. The Vaadin provides a desktop-like programming model on the server for creating Rich Internet Applications (RIAs) in plain Java – without the need for HTML, XML, plug-ins or JavaScript. In this session, Joonas lays out the key concepts of the … Read More
