Crypto at Scale - Building a High-Performance Platform for Real-Time Blockchain Data
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Explore how to build a scalable, high-performance data intelligence platform for real-time blockchain analytics in this 36-minute conference talk from Databricks. Discover how Elliptic constructed their platform to deliver fast, reliable blockchain intelligence for risk management, financial crime investigation, and threat detection in the rapidly evolving cryptocurrency landscape. Learn about the key architectural components including the Elliptic Entity Graph and user-facing analytics capabilities, with particular focus on how Databricks ecosystem tools like Structured Streaming, Delta Lake, and SQL Warehouse enable real-time actionable insights. Gain insights into specific optimizations made to streaming jobs for maximum performance and data completeness, along with concrete strategies for enhancing streaming capabilities and novel approaches to data processing at scale. The session is presented by Ferran Cabezas Castellvi, Lead Data Engineer at Elliptic, and Matthew Moorcroft, Specialist Solutions Architect at Databricks, offering practical lessons learned from building production-ready data pipelines for crypto analytics.
Syllabus
Crypto at Scale: Building a High-Performance Platform for Real-Time Blockchain Data
Taught by
Databricks