Data is being productized. We are now at a point where we can talk about so-called “data products” as defined information entities that exist in a more formally coalesced and correlated way that makes data itself more eminently consumable. Data products are defined as live, refined, fully governed and ready-to-use data assets that are instantly discoverable, contextualized, trustworthy and reusable for many use cases.
Reflecting upon and resonating upon Timperlake’s comments, we can perhaps see the popularization of data product technologies helping enterprises to keep up with the speed of modern business and the operational and transactional data workload that companies in all sectors now have to shoulder.
Malone’s comments come from Snowflake’s wider stance and technology proposition i.e. the organization brands itself as the AI Data Cloud company. So that’s not a cloud computing service full of apps per se , it’s a cloud computing service potentially populated by data products, which is why Snowflake talks about data application development, data sharing and data marketplaces.at Snowflake Summit 2024.
For too long, data was purely a function of IT, which still has a huge role to play here. However, treating data as a product that is “always on sale” brings other users into the picture.
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