The Cleveland Big Data Meetup (https://www.meetup.com/cleveland-hadoop/) was founded in 2010 and for most of its existence did not record meetups. The Covid-19 pandemic changed everything and the meetup had to go virtual as of March 2020 when a global pandemic was declared. The meetup slowly started rebuilding in-person attendance in July 2022, in addition to a virtual option. We never stopped meeting though!
After 14 years and 81 meetups Cleveland Big Data Meetup merged with Cleveland AI in November 2024 to form Cleveland AI and Data (https://www.meetup.com/cleveland-ai-data). While the name and URL have changed, that meetup has the history of events from Cleveland Big Data. This was the announcement of the merger on LinkedIn:
I wrote a personal blog in 2016 that described the history of the Cleveland Big Data Meetup to that point, and some of the best practices for meetup organizers:
I wrote a 2021 post for the Association for Computing Machinery that described the challenges in managing a technical community during a global pandemic:
=========== Recordings =========
March, May, July, September 2024 Meetups
- We had meetups, but they weren't recorded
- Ian Maurer - "Improving LLM Reliability through Tool Usage"
- Rob Hryniewicz- "Streamlining LLM Customization with AI Prototypes in the Enterprise"
- Dro Sohrabian - "Mapping Eternity: The City's new Geospatial Cemetery Management System"
- Mike Onders - "Gen AI Roadmap at Key and a cool Big Data Use Case"
- Mike George - "Data: Running Marathons"
- Sumit Sengupta - "Distributed SQL and YugabyteDB"
- No recording (Mega Meetup)
- Sorry about the audio issues on the first presentation. The trials of live meetup management.
- Tom Fisher - "Geographic Information Systems at Cuyahoga County"
- Tim Hoolihan - "Coding with an LLM (Large Language Model)"
- Mark App - "Providing Universal Great Lakes Data Access with the GLDW"
- https://youtu.be/9OEeU1IQbhg
- Progressive - "Daily actionable intelligence for operations in near real-time"
- Confluent/Kafka - "Data Mesh with Kafka"
- Doug Meil - "Why are there so many programming languages?"
- https://www.youtube.com/watch?v=SV6e91EvHzY
- No recording - technical issues (sorry!)
- Mini Mega Meetup!
- Pandata - "Creating responsibly with AI, featuring DALLE and GPT3"
- Arista - "Network observability"
- 1848 Ventures - featuring Snowflake & H20.ai, "Creating business value with data is never guaranteed - here's how to increase your chances”
- In person only, no recording
- Andrew Purtell - "Similarity and differences between open source and commercial software development"
- Tim Hoolihan - "Collaborative Data Exploration"
- Anyi Li - "Hematopathology automatic triaging using deep learning"
- (note: this was the first time we had a sizable in-person audience since the January 2020 meetup. plus virtual)
- Looking for recording...
- Pandata - "Machine learning model explainability in healthcare"
- InfluxData - "Running Arbitrary Compute Workloads in a Multi-Tenanted Environment"
- Arista - "DANZ monitoring fabric, next-generation network packet broker (NPB) architected for pervasive, organization-wide visibility and security."
- https://www.youtube.com/watch?v=s8VfjXVMWxA
- NASA Glenn - "Machine Learning Models to Predict Cognitive Impairment of Rodents Subjected to Space Radiation"
- KeyBank Cloud Case Study with Google BigQuery
- Elastic - "Observability At Scale With Elastic", Ingesting log metrics from 60+ public cloud regions across 4 cloud providers, and over 100TB a day
- https://www.youtube.com/watch?v=2nhipZ9CphQ
- Snowflake - "The future of secure data sharing"
- Google - "Using BigQuery and public datasets for trend analysis"
- Dremio - "The SQL Lakehouse: How Dremio is Enabling an Open Data Architecture"
- https://www.youtube.com/watch?v=mNv2iZzT1N0
- Holden Karau - "Migrating from YARN to Kubernetes -> an exciting opportunity to make old mistakes new again."
- Steve Howard (Confluent) - "Apache Kafka for streaming machine learning initiatives"
- Andre de Waal - "OpenDS4All: An open education project to accelerate the development of data science curricula worldwide"
- https://www.youtube.com/watch?v=7rRBetDpcG4
- Steph Hippo - "SRE at Google"
- Dipti Borkar - "An intro to PrestoDB for data platform and database engineers"
- Dan Kim - "What Coffee and Rock Climbing Can Teach Us About MapReduce"
- https://www.youtube.com/watch?v=aV1Yj8jqPZ4
February 2021 (Re-do of January 2021)
- Tamera Chess, Ken Czekaj - "Extending AI OPS to the Enterprise"
- Luke Teeters - "DNS defense in depth"
- Arista Networks - "Arista Awake Security: The AI-Driven Security Transformation"
- https://www.youtube.com/watch?v=Dq-w1cu1YF0
- Virtual Mega Meetup! (this was in the tradition of the Mega Meetups that happened from 2014-2019 that rented out a museum, but Covid-19 made that kind of in-person event impossible at this time)
- Glenn Starkman, Case Professor and co-Chair of Physics and Professor of Astronomy - "Searching for the topology of the universe"
- Dr. Piyush Mather - "AI applications in healthcare during COVID pandemic"
- Databricks - “Using Spark and MLflow for Customer Lifetime Value analytics”
- Tim Hoolihan - "R analytics performance (with large datasets and common performance issues)"
- Fanny Ye, Case CS Professor - "alpha-Satellite: An AI-driven System for Dynamic COVID-19 Risk Assessment"
- https://www.youtube.com/watch?v=jfyq5bfcvMY
- Doug Huber (LCCC) - "Big Data Ethics"
- The KeyBank Digital Intelligence Story, from traditional enterprise monitoring to near real time event based digital intellegence.
- Pandata - "The Equity Kernel: Approaches for addressing underlying bias in datasets"
- https://www.youtube.com/watch?v=9RZF4T9--JM
- The Covid-19 global pandemic was declared less than a week before this meetup, and we had to scramble to set up an online version.
- This was a combined Cleveland Big Data - BrainX (MedicalAI) Meetup
- https://www.youtube.com/watch?v=a61BltCo7f8
