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Empowering LLMs with Scalable Cloud Analytics

Conf42 via YouTube

Overview

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Explore how to enhance Large Language Models with scalable cloud analytics infrastructure in this 14-minute conference talk from Conf42 LLMs 2025. Discover the fundamentals of real-time data analytics and understand the rapidly growing cloud analytics market landscape. Learn about the core components that make up effective real-time analytics systems, including comprehensive coverage of data ingestion layers for collecting and processing incoming data streams. Dive deep into processing layer architectures and methodologies, followed by an examination of storage layer solutions for managing large-scale data. Understand event-driven architecture principles and how they apply to LLM-powered systems. Address critical security and compliance considerations when implementing cloud-based analytics solutions. Examine performance optimization strategies and best practices for maintaining system efficiency at scale. Master monitoring and observability techniques to ensure reliable operation of your analytics infrastructure. Gain insights into future trends and developments in the intersection of LLMs and cloud analytics technology.

Syllabus

00:00 Introduction to Real-Time Data Analytics
00:27 The Growth of Cloud Analytics Market
00:56 Core Components of Real-Time Analytics
01:12 Data Ingestion Layer
01:28 Processing Layer
05:30 Storage Layer
07:02 Event-Driven Architecture
08:23 Security and Compliance
09:53 Performance Considerations
11:21 Monitoring and Observability
12:40 Conclusion and Future Outlook

Taught by

Conf42

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