About us
When I first entered the world of Big Data as an engineer, I didn’t realize what an enormous technological challenges I will be facing. As time went by, despite my experience, I’m still struggling to keep up with new technologies, frameworks and architectures.
Consequently, I created this meetup, detailing all the challenges of Big Data, especially in a cloud environment . I am using AWS, GCP and Data Center infrastructure to answer the technical questions of anyone navigating their way in the big data world.
In this meetup we will try to answer questions regarding: big data best practice, data science, data engineering, BI, how to manage costs, performance tips, security tips and Cloud best practices.
We shall present lecturers working on several cloud vendors, various technologies and frameworks, and startups working on data products. Basically - if it is related to data - this is THE meetup.
Some of our online materials (mixed content from several cloud vendor):
Website:
https://big-data-demystified.ninja
Meetups:
https://www.meetup.com/Big-Data-Demystified
https://www.meetup.com/AWS-Big-Data-Demystified/
https://www.meetup.com/BI-and-Analytics-Demystified/
You tube channels:
https://www.youtube.com/channel/UCMSdNB0fGmX5dXI7S7Y_LFA?view_as=subscriber
https://www.youtube.com/channel/UCzeGqhZIWU-hIDczWa8GtgQ?view_as=subscriber
Audience:
Data Engineers
Data Science
DevOps Engineers
Big Data Architects
Solution Architects
CTO
VP R&D
Upcoming events
2
Taming Database Latency: When External Caching Backfires (And How to Fix It)
·OnlineOnlineMilliseconds matter. Long-tail latency (p99) can dictate your user’s experience and bottom line. When database queries slow down, a common practice is to throw an external cache like Redis in front. But what happens when that external cache introduces more complexity, cache-invalidation nightmares, and hidden costs?
In this talk, Guy Shtub explores database latency mechanics, common caching patterns, and why adding an external cache tier doesn't always solve your performance bottlenecks.### What you'll learn:
- The Real Business Cost of Latency: How tail-latency (p99) impacts revenue and why the slowest 1% dominates user experience.
- Caching Strategies in the Wild: Breaking down Cache-Aside, Write-Through, Write-Back, and Embedded Read-Through patterns.
- The Dark Side of External Caching: How external cache tiers add application complexity, degrade availability, and ignore rich database context.
- Bypassing the Cache Tier: How modern, close-to-metal database designs (shard-per-core, unified cache, I/O scheduling) enable databases to replace external cache tiers altogether.
- Real-World Case Studies: How teams at Comcast, Disney+/Hotstar, Grab, and Tubi eliminated external cache layers to boost performance and cut infrastructure TCO.
Speaker: Guy Shtub, Head of Training at ScyllaDB
Guy Shtub is Head of Training at ScyllaDB and holds a B.SC. degree in Software Engineering from Ben Gurion University. He co-founded two start-ups and is experienced in creating products that people love.2 attendees
Past events
74
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