The Social Intelligence Stack: Scalable Web Scraping Meets Distributed SQL 

​Mining social media at scale is a unique engineering challenge. Between aggressive anti-bot measures and the sheer velocity of data, most pipelines break long before they provide actual value. How do you maintain a stable ingestion flow and then query that data in real-time without hitting a database bottleneck? 

​Join us for an evening of technical architecture and live demonstrations. We are bringing together experts from Bright Data and CrateDB to show you how to build a seamless path from the open web to actionable insights.

​What We’ll Cover

• ​The Social Media Challenge: Strategies for navigating complex web structures and bypassing sophisticated anti-scraping technologies at scale. 
• ​Architecture for Ingestion: How to handle massive "write-heavy" workloads and ingest unstructured social data without slowing down your analytics. 
• ​Live Demo: We will showcase a short live demo, taking a high-volume social media stream and moving it directly into a high-performance database for instant analysis. 
•  ​Analytics at Scale: Achieving sub-second query performance on millions of rows of freshly ingested data. 

​Who Should Join

•  
•     ​Developers and data engineers working with event streams or analytics pipelines
•     ​Solution architects designing modern, real-time platforms
•     ​Technology leaders exploring modern, cloud-native data platforms
•     ​Anyone eager to explore the next generation of streaming data technologies