Cloud data management solutions provider GoldenSource has launched a Snowflake-native app, available alongside its data warehouse schema for use in the Snowflake Data Share.
GoldenSource’s schema allows firms to identify, structure, describe and link relevant data outside of an organisation’s use and process of the data. This will help to create a comprehensive data model, instead of the disparate datasets within data lakes that firms are currently handling.
Now available through Snowflake’s cloud data platform, various datasets can be mapped and restructured in what the company calls an “easy-to-understand format”. With this, market participants can effectively analyse the data within Snowflake, accelerating the use of analytical tools and improving data insights and subsequent decision-making.
Specifically, GoldenSource’s Snowflake Native App can clean and transform raw data internally. It can also populate data schemas with information from the Snowflake Data Share or public cloud storage containers.
Jeremy Katzeff, head of buy-side solutions af GoldenSource, says: “Historically, there have been significant barriers for firms to gain meaningful insights and value from cloud data content, because of disparate datasets that are unstructured in nature. With this collaboration, we aim to revolutionise the way datasets are integrated and analysed within a modern cloud-native environment, allowing organisations to extract more valuable insights from data content, with a greatly improved user experience.”
