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Bohemian & Poolside, Halcyon Hotel, P.B. 4708,Drafadilla, 9, 5th Main Rd, BDA Layout, 4th Block, Koramangala, Bengaluru, Karnataka 560047
| Name | Speaker | Start Time | End Time | Presentation | Recording |
|---|---|---|---|---|---|
| Registration and Dinner | 05:00 PM | 06:30 PM | |||
| Welcome & Opening | 06:30 PM | 06:40 PM | |||
| Talk Track 1 (PeerDB) | Sai Srirampur, Clickhouse | 06:40 PM | 07:10 PM | ||
| Talk Track 2 | Gumlet | 07:10 PM | 07:40 PM | ||
| Talk Track 3 | 07:40 PM | 08:10 PM | |||
| Q&A & Networking | 08:10 PM | 09:00 PM |
Speaker: Sai Srirampur and PeerDB team
About the talk: PeerDB makes it fast and simple to replicate data from Postgres to ClickHouse. It already supports multiple production customers moving billions of rows and terabytes of data from their Postgres databases to ClickHouse for real-time analytics.
In this talk, we will delve into the internals of how PeerDB works. We will cover state-of-the-art optimizations that enable 10x faster replication, incl. features such as parallel snapshotting to move TBs of data in hours vs days; continuous flushing of the replication slot; ReplacingMerge to support data modification workloads; and so on. We will also show an interactive demo of PeerDB in action.
As a special topic, we’ll discuss how we built an enterprise-grade infra SaaS offering (PeerDB Cloud) in ~6 months. It is already replicating over a petabyte of data from Postgres. We’ll also explain how we’re integrating it with ClickPipes, the native ingestion service for ClickHouse.
Speaker: Aditya Patadia, CEO @ Gumlet
About the talk: The talk will be about how we leverage ClickHouse for our image and video products. We deliver 1.5 billion+ images and videos every day and all logs and analytics on views is powered by ClickHouse. We will explore how we came to use ClickHouse, challenges faced and optimisations made for this large scale deployment.
Speaker: Navaneet Krishna, Lead - Business Intelligence @ Increff
About the talk: Slow BI getting in the way of your insights? Learn how Increff revolutionised their BI capabilities using ClickHouse to achieve lightning-fast performance, even with massive datasets, all while achieving the best cost-to-performance ratio. They will be showcasing the strategies and optimisations that enabled them to effortlessly handle large-scale data, serving both leading Indian fashion brands and global giants like Adidas, Puma, Jockey, etc with unprecedented speed and efficiency. Gain practical insights and actionable takeaways to overcome your own BI challenges and accelerate your data-driven decision-making.
