Enable Faster Data Processing and Access with Apache Arrow with Matt Topol @ Factset
Failed to add items
Sorry, we are unable to add the item because your shopping basket is already at capacity.
Add to cart failed.
Please try again later
Add to wishlist failed.
Please try again later
Remove from wishlist failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
-
Narrated by:
-
Written by:
About this listen
In this episode we speak with Matt Topol, Vice President, Principal Software Architect @ FactSet and dive deep into how they are taking advantage of Apache Arrow for faster processing and data access.
Below are the top 3 value bombs:
- Apache Arrow is an open-source in-memory columnar format that creates a standard way to share and process data structures.
- Apache Arrow Flight eliminates serialization and deserialization which enables faster access to query results compared to traditional JDBC and ODBC interfaces.
- Don’t put all your eggs in one basket, whether you're using commercial products or open source, make sure you design a modular architecture that does not tie you down to any one piece of technology.
No reviews yet