Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Ivan Kelly

Ivan Kelly
Software Engineer, Streamlio

Website

Ivan Kelly is a software engineer at Streamlio, a startup dedicated to providing a next-generation integrated real-time stream processing solution, based on Heron, Apache Pulsar (incubating), and Apache BookKeeper. Ivan has been active in Apache BookKeeper since its very early days as a project in Yahoo! Research Barcelona. Specializing in replicated logging and transaction processing, he is currently focused on Streamlio’s storage layer.

Sessions

13:30–17:00 Tuesday, 30 April 2019
Architecture and algorithms for end-to-end streaming data processing
Data Engineering and Architecture, Streaming and IoT
 Location: S11 A
Secondary topics:  AI and Data technologies in the cloud, Data Integration and Data Pipelines, Streaming and realtime analytics, Temporal data and time-series
Arun Kejariwal (Independent), Karthik Ramasamy (Streamlio), Ivan Kelly (Streamlio)
Average rating: ***..
(3.00, 10 ratings)
Many industry segments have been grappling with fast data (high-volume, high-velocity data). Arun Kejariwal and Karthik Ramasamy walk you through the state-of-the-art systems for each stage of an end-to-end data processing pipeline—messaging, compute, and storage—for real-time data and algorithms to extract insights (e.g., heavy hitters and quantiles) from data streams. Read more.
17:25–18:05 Wednesday, 1 May 2019
Infinite retention using storage offloading with Apache Pulsar
Data Engineering and Architecture
 Location: Capital Suite 4
Secondary topics:  Streaming and realtime analytics
Karthik Ramasamy (Streamlio), Ivan Kelly (Streamlio)
This talk discusses how Apache Pulsar provides infinite retention of events in topics. We will discuss how the segment oriented architecture allows unlimited topic growth, how you can keep costs down by using tiered storage and how you can run ad-hoc queries on the topic using SQL. Read more.