Hands-on workshop: Create data-driven apps faster with ADBC and AI

​AI coding tools are changing how we build data pipelines and applications, but all of that code still needs to connect to databases, and the connectivity layer hasn’t kept up. Join us for this online workshop to learn how to use ADBC (Arrow Database Connectivity), a modern database access standard that transports data in Apache Arrow columnar format, eliminating the overhead of row-based connectors and giving you a portable, consistent API across databases and languages.

​In this live hands-on workshop hosted by Columnar and led by Nic Crane, you’ll use ADBC with Python to connect to databases, compare performance against traditional connectors, and switch seamlessly between backends with minimal code changes. The workshop mixes instructor-led content with live demos and interactive exercises, providing a practical foundation for using ADBC in your own analytical and agent-driven workflows.

​This session is for you if:

• ​You want to speed up analytical workflows that read or write bulk data from databases

• ​You want a single API for connecting to multiple databases without rewriting your connector layer each time

• ​You want to understand how ADBC fits into AI coding and agent-driven development

• ​You’re tired of juggling different libraries, type-mapping quirks, and system-level configuration for each database

​About Columnar

​Columnar is the data infrastructure company advancing open standards for radically faster, simpler, more secure database access. To learn more about Columnar’s work with Arrow and ADBC, visit columnar.tech.

​About Nic

​Nic Crane is an open source developer, a member of the Apache Arrow Project Management Committee (PMC), and an independent educator and consultant. Learn more about Nic’s work at niccrane.com.

​About Ian

​Ian Cook is an open source developer, a member of the Apache Arrow PMC, and the co-founder and CEO of Columnar. Follow Ian on LinkedIn at linkedin.com/in/ianmcook.