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 developing financial software. In the time since, Matt has worked in infrastructure and application development, has lead development teams, and architected large-scale distributed systems for processing analytics on financial data. Matt is a PMC member for the Apache Arrow project, frequently enhancing the Golang library among other enhancements 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.
Sessions
Data system interoperability remains a significant challenge in open source ecosystems, with high costs in development time and resources when moving data across complex infrastructures. The Apache Arrow project offers a standardized solution to reduce these integration challenges.
Will Ayd (Apache Arrow Committer and pandas maintainer) and Matt Topol (Apache Arrow PMC Member and author of "In Memory Analytics with Apache Arrow") will discuss how Apache Arrow is changing the data landscape. A brief overview of Arrow standards will be provided, while also reviewing real world implementations of where the Arrow specification has driven down the cost of data interoperability.
Lunchtime chat with data science authors, with some offering book giveaways and signing books!