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David Morgan-Gumm speaks with Alex Merced, Head of DevRel at Dremio, tech educator, and author, about the open source foundations behind modern data engineering. They break down Apache governance, Apache Arrow, Iceberg, Polaris, and how these pieces fit together in lakehouse architectures. Alex also shares his path into technical writing, community building, and why AI is changing how creators and data teams work.
Key topics
- In this episode: the difference between open source and genuinely open governance, and why Apache projects matter for shared standards
- Alex explains how the Apache Software Foundation works, including incubation, top level projects, and why community control matters more than corporate control
- The conversation compares Apache Foundation governance with the Linux Foundation model and why each solves a different problem
- Alex walks through the stack behind Dremio, including Apache Drill, Apache Arrow, and Apache Calcite
- We discuss why Apache Arrow matters as a standard in-memory data format and how it reduces translation overhead between engines
- Alex explains Apache Iceberg as a table format that tracks table versions, metadata, manifests, and file statistics for file skipping
- The episode covers Apache Polaris as a catalogue and governance layer for Iceberg tables, including access control and vendor-neutral metadata management
- David and Alex discuss how lakehouse architecture lets teams switch engines without moving data or redefining permissions from scratch
- Alex shares how federated querying in Dremio can help bridge older systems like SQL Server, Synapse, Redshift, and Snowflake while migrating toward Iceberg
- The episode closes with Alex’s origin story, his path from comics and finance into developer advocacy, and why writing books became a natural extension of teaching
Timestamps
00:00 - Introduction to SQL Squared and guest welcome
03:46 - What Apache means in open source governance
06:06 - How Apache projects become community driven
07:59 - Community over code and why that matters
09:52 - Dremio’s roots in Arrow, Drill, and Calcite
10:21 - Hadoop, MapReduce, and the need for better query engines
11:46 - Why Apache Arrow standardizes in-memory data
13:55 - Where Arrow shows up in modern tools
15:22 - Why Iceberg emerged from Hadoop and Parquet limitations
17:10 - From folders of files to tables with metadata
18:10 - How Hudi, Iceberg, and Delta Lake solve versioning differently
19:07 - Iceberg metadata trees and manifest lists
20:04 - File skipping and why it speeds up analytics
23:26 - Iceberg as the table, Polaris as the catalogue
24:24 - Polaris as vendor-neutral phone book and governance layer
25:47 - Querying the same Iceberg tables from different engines
26:47 - Why lakehouse architecture is future-proof
28:12 - AI makes data silos harder to live with
30:00 - How Dremio helps migrate without a hard cutover
31:28 - Table-by-table migration with views and abstraction
33:47 - Why the role of DevRel matters in data infrastructure
34:32 - Alex’s early tech roots, from GeoCities to RPG Maker
36:27 - Years in finance, training, and building a personal brand
38:20 - Boot camp teaching, video content, and the move into DevRel
41:41 - Why Alex started writing an Iceberg book
43:10 - The timing of the Iceberg book and rising industry interest
45:37 - Tabular, Polaris, and the catalogue gap
48:03 - Snowflake, Databricks, and the open catalogue race
50:15 - Alex’s YouTube channels and weekly newsletters
51:10 - AI, creativity, and the tension for working artists
54:39 - Using AI as a tool, not a shortcut
55:53 - What makes strong technical communities
58:36 - Different community types and how programming should match the audience
62:05 - Closing thoughts on community and open ecosystems
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The sql_squared podcast is your guide to navigating the ever-evolving world of data. We go beyond the code to explore the tools, techniques, and trends that shape the data landscape, from SQL Server and cloud platforms to AI and developer productivity. Join us as we chat with experts from the community to help you learn, grow, and make the right decisions on your data journey.
