Mark Needham
where else to find them
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what they talk about
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where they keep going back
- Open Source Summit Latin America2 editions2022–2022
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on a stage with
who talks about the same things
- Karin Wolok13 talks
- Tim Berglund15 talks
- Elena Williams5 talks
- F. Teychene3 talks
- Jim Dowling21 talks
- Timothy J Spann51 talks
| title | conference | date |
|---|---|---|
| The Real-Time Analytics Stack | Jfokus 2023 | 2023-02-06 |
Argues a lean, cloud‑native RTA stack that replaces Lambda with a simple pipeline: events into Kafka, stream joins via Kafka Streams, materialized into Apache… | ||
| Building a Real-time Analytics Application with Apache Pulsar and Apache Pinot | OSA Con 2022 | 2022-11-15 |
Live pipeline ingests Wikimedia server‑sent events with the Pulsar Python client, publishes to a Pulsar topic, and lets an Apache Pinot real-time table consume… | ||
| Real-time Analytics: Going Beyond Stream Processing With Apache Pinot | Big Data LDN 2022 | 2022-09-21 |
Demo builds a realtime pipeline that pulls the Wikimedia RecentChanges SSE feed into Python, writes events to Apache Kafka, ingests them into a real‑time… | ||
| Real-Time Analytics: Going Beyond Stream Processing with Apache Pinot | Open Source Summit Latin America 2022: Open AI + Data Forum | 2022-08-23 |
A working pipeline ingests the Wikimedia recent-changes stream into Python, writes to Kafka, and consumes into Apache Pinot with a Streamlit dashboard that… | ||
| Real-Time Analytics: Going Beyond Stream Processing with Apache Pinot | Open Source Summit Latin America 2022 | 2022-08-23 |
Real-time analytics pipeline uses a Wikimedia server‑sent events feed, a Python producer, Apache Kafka for streaming, and Apache Pinot as a columnar OLAP store… | ||
| Building a recommendation engine with Python and Neo4j | PyData London 2016 | 2016-05-06 |
PyData London 2016
In this session Mark will show how to build a meetup.com recommendation engine using Neo4j and Python.
Our solution will be a hybrid which… | ||
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