Amazon FinSpace now provides Quick Setup with pre-configured data catalog, sample data, and improved data loading

Amazon FinSpace now makes it even easier to start analyzing data with newly included financial services sample data, catalog configurations with taxonomy and metadata, capabilities to load your data into Amazon FinSpace, and the ability to run multiple Spark jobs in parallel.

A preinstalled capital markets data bundle includes a sampling of data from Exchange Data International (EDI), the U.S. Department of the Treasury, and Algoseek. Also included is a 6 month sample of equity trade and quote (TAQ) data for 14 symbols, which you can use to evaluate the FinSpace time series framework or use with your own custom analytics. The bundle is automatically included for all new FinSpace environments.

Loading your own data is now more easily done with the FinSpace web application’s improved data format detection for comma-separated value (.csv) files, which are commonly used to store financial industry data sets. Once the data is loaded, a new option on the home page lets you view recently loaded datasets with a single click. After loading your data, you can now run multiple Notebooks on a single Spark cluster at the same time, allowing you to analyze more datasets in parallel.

Amazon FinSpace is a fully managed analytics service for financial services customers that makes it easy for analysts to access and analyze data from multiple locations such as internal data stores like portfolio, actuarial, and risk management systems as well as petabytes of data from third-party data sources, such as historical securities prices from stock exchanges. With Amazon FinSpace, customers can store, catalog, and prepare data at scale, reducing the time it takes to gain insights from months to minutes. To get started with Amazon FinSpace, please see the AWS Amazon FinSpace product page and service documentation.