Going Native with Arrow Flight and Dremio

While some cloud data lake technologies have great integrations in multiple languages, others are actually a bit difficult to use with Golang as your primary language. This session describes how and why FactSet pursued native Golang connectors to Dremio, as well as a native Golang Apache Arrow Flight server and client implementation.

Topics Covered

Apache Arrow Flight

Dremio

Speakers

Matt Topol

Hailing from the faraway land of Brentwood, NY, and currently residing in the rolling hills of Connecticut, Matt Topol has always been passionate about software. After graduating from Brooklyn Polytechnic (now NYU-Poly), he joined FactSet Research Systems, Inc. in 2009 to develop financial software. In the time since, Matt has worked in infrastructure and application development, has lead development teams, and has architected large-scale distributed systems for processing analytics on financial data. Matt is a committer on the Apache Arrow repository, frequently enhancing the Golang library and helping to grow the Arrow Community. Recently, Matt wrote the first and only book on Apache Arrow, “In-Memory Analytics with Apache Arrow,” and joined Voltron Data in order to work on the Apache Arrow libraries full-time and grow the Arrow Golang community.

In his spare time, Matt likes to bash his head against a keyboard, develop/run delightfully demented games of fantasy for his victims–er–friends, and share his knowledge with anyone interested who’ll listen to his rants.

Ready to Get Started? Here Are Some Resources to Help

Webinars

Smart Data – Smart Factory with Octotronic and Dremio

Guides

What Is a Data Lakehouse?

The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.

Whitepaper

Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse

The adoption of data mesh as a decentralized data management approach has become popular in recent years, helping teams overcome challenges associated with centralized data architecture.