What we’re about
Welcome to Data at Scale, a new meetup group in Chicago, Illinois for professionals and enthusiasts interested in big data, large-scale data processing, real time and challenges in scaling large data systems.
Our goal is to bring together experts and learners in the field to share knowledge, discuss industry trends, and network with like-minded individuals. We'll host regular meetings and events covering topics such as distributed systems, data warehousing, data engineering, data needed for model training (ex: data that powers AI models like ChatGPT), and the issues and challenges of scaling data.
Join us to learn, share and grow together in the exciting area of scaling data systems and to understand the limitations and the best practices to overcome them.
Upcoming events
1
- Network event
•OnlineTiDB Use Case Lab: Scale Out MySQL With Less Ops Toil
Online4 attendees from 7 groupsMySQL applications hit scaling ceilings: hot shards, schema-change windows, and operational sprawl from too many replicas. In this hands-on lab, we’ll show you how to modernize MySQL workloads onto TiDB to unlock horizontal scale, online schema evolution, and operational simplicity without major code rewrites.
REGISTER VIA LINK: https://bit.ly/3M9XRm4
You’ll see how TiDB’s MySQL-compatible, distributed SQL architecture separates compute and storage, scales linearly, and keeps applications online during migrations and upgrades. We’ll walk through how to migrate from MySQL to TiDB using TiDB Data Migration tooling, including setting up the migration task and verifying the migration result.
What you’ll learn:
- How to lift-and-shift MySQL schemas and data with minimal code changes using TiDB’s MySQL compatibility and migration tooling.
- Executing online DDL on hot tables without downtime and reducing lock contention under peak load.
- Horizontally scaling reads and writes by distributing data automatically, with elastic capacity and no application-side sharding.
- Strategies for zero- or near-zero-downtime cutover, verification, and safe rollback.
- wConsolidating OLTP + operational analytics via TiDB’s columnar engine and secondary indexes to simplify your stack.
REGISTER VIA LINK: https://bit.ly/3M9XRm4
Past events
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