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The Data Engineering Show

The Firebolt Data Bros

Administración Economía y empresa

Último episodio

56 episodios

The Data Fusion Secret & Why Custom Query Engines Fail with Nikita Lapkov
24/03/2026 | 18 min
What if building a distributed SQL engine meant rethinking everything about how query execution works at scale? In this episode, Benjamin sits down with Nikita, Senior Software Engineer at Cloudflare, to explore how R2 SQL leverages object storage and distributed computing to power analytics across 300 global locations, why backward compatibility becomes critical when you can't control infrastructure rollouts, and the key strategies for handling joins and adaptive query execution in a stateless, point-to-point network architecture. Whether you're designing distributed systems or curious about how Cloudflare processes petabytes of data, this conversation reveals the real-world engineering challenges and innovations shaping the future of cloud data platforms.
How Zipline AI Turns Weeks of Engineering Into Minutes of SQL Queries ft. Nikhil Simha
10/03/2026 | 24 min
What if you could deploy ML features and real-time data pipelines without building complex infrastructure from scratch?

In this episode, host Benjamin sits down with Nikhil Simha, CTO at Zipline AI and co-author of Chronon AI, to explore how Chronon, an open-source system that generates data infrastructure from simple queries, is transforming feature engineering at companies like OpenAI and Airbnb. Learn why iteration speed matters for fraud detection, how to serve thousands of signals at a massive scale, and what the future of analytical databases looks like in an AI-first world. Whether you're scaling real-time ML systems or building customer-facing analytics, this conversation is packed with practical insights on bridging the gap between data scientists and ML engineers.
The Geo-Data Problem Nobody Talks About And How Voi Solved It ft. Magnus Dahlbäck
19/02/2026 | 16 min
What if your data platform could power both critical business decisions and real-time product features at scale? In this episode, host Benjamin sits down with Magnus Dahlbäck, Senior Director of Data and Platform at Voi, to explore how a metrics-first approach and semantic layers transform data accessibility, why traditional ML and LLMs require different strategies for different problems, and how to balance FinOps costs while processing billions of IoT events daily. Whether you're building data infrastructure for a high-growth company or rethinking how your organization consumes data, this conversation is packed with practical strategies for unlocking data value and preparing your platform for AI. Tune in to discover how Voi ditched traditional BI tools and revolutionized their approach to enterprise analytics.
Why 99% of Data Teams Give Up on Real-Time And How Artie Changes That
03/02/2026 | 29 min
What happens when a team of seven engineers spends a year trying to build a production-ready CDC connector and fails? For Artie CTO and co-founder Robin Tang, it was the spark needed to build a platform that makes data streaming accessible. In this episode, Robin joins Benjamin to discuss the "DFS" (Deep First Search) approach to data sources, the engineering hurdles of real-time Postgres-to-Snowflake pipelines, and why "theoretically correct" architectures often fail in practice.
The $100M Problem: How Lyft's Data Platform Prevents ML Failures with Ritesh Varyani at Lyft
16/12/2025 | 25 min
What if your data platform could serve AI-native workloads while scaling reliably across your entire organization? In this episode, Benjamin sits down with Ritesh, Staff Engineer at Lyft, to explore how to build a unified data stack with Spark, Trino, and ClickHouse, why AI is reshaping infrastructure decisions, and the strategies powering one of the industry's most sophisticated data platforms. Whether you're architecting data systems at scale or integrating AI into your analytics workflow, this conversation delivers actionable insights into reliability, modernization, and the future of data engineering. Tune in to discover how Lyft is balancing open-source investments with cutting-edge AI capabilities to unlock better insights from data.

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Acerca de The Data Engineering Show

The Data Engineering Show is a podcast for data engineering and BI practitioners to go beyond theory. Learn from the biggest influencers in tech about their practical day-to-day data challenges and solutions in a casual and fun setting. SEASON 1 DATA BROS Eldad and Boaz Farkash shared the same stuffed toys growing up as well as a big passion for data. After founding Sisense and building it to become a high-growth analytics unicorn, they moved on to their next venture, Firebolt, a leading high-performance cloud data warehouse. SEASON 2 DATA BROS In season 2 Eldad adopted a brilliant new little brother, and with their shared love for query processing, the connection was immediate. After excelling in his MS, Computer Science degree, Benjamin Wagner joined Firebolt to lead its query processing team and is a rising star in the data space. For inquiries contact [email protected] Website: https://www.firebolt.io

Sitio web del podcast

Administración Economía y empresa Tecnología