Decoding Databases: Indexes, Tradeoffs, and the Quest for Speed

03/01/25 • 38 min

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Unlock the secrets behind lightning-fast data retrieval! We explore the inner workings of database storage engines, from simple bash scripts to complex B-trees. Discover how indexes work, the trade-offs between speed and storage space, and how data warehouses organize vast amounts of historical data.

Designing Data-Intensive Applications (free chapters): https://www.scylladb.com/wp-content/uploads/ScyllaDB-Designing-Data-Intensive-Applications.pdf

DDIA book: https://dataintensive.net

Designing Data-Intensive Applications (free chapters): https://www.scylladb.com/wp-content/uploads/ScyllaDB-Designing-Data-Intensive-Applications.pdf

DDIA book: https://dataintensive.net

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LLMs: Magic or Math? A Deep Dive into Language Models

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Large Language Models are everywhere, but how do they actually work? Join us as we unravel the science and engineering behind these powerful AIs that can write, translate, and even create. From pre-training to fine-tuning, we explore how they learn and what it means for the future of tech.

Foundations of Large Language Models: https://arxiv.org/pdf/2501.09223

Next Episode

AI Agents: From Smart Homes to Deep Learning

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Ever wondered how AI is transforming our lives, from smart homes to the stock market? In this episode, we explore the fascinating world of AI agents – systems that can perceive, reason, and act to achieve goals. We'll unpack the core concepts from "AI Foundations of Computational Agents," delve into real-world examples like trading and tutoring agents, and discuss the blend of neural networks and logical reasoning that powers them. Get ready to understand the building blocks of AI's future!

Artificial Intelligence: Foundations of Computational Agents (3rd Edition): https://mrce.in/ebooks/AI%20Foundations%20of%20Computational%20Agents%203rd%20Ed.pdf