How do data catalogs boost innovation for the GAFA and Web Giants?
It is clear that the GAFA (Google, Amazon, Facebook, Apple) and other various Web Giants such as Uber, Airbnb, and TripAdvisor are the most influential enterprises in the history of capitalism. These American companies are seen as some of the most powerful companies in the world.
But even the most powerful companies in the world have trouble working with their data. With millions and millions of data pouring in each day, these powerful Web Giants were in need of a single tool to organize, centralize, and valorize their data.
This tool has a name: a data catalog. Let’s see several examples that we do not present anymore.
Google Goods
When you’re called Google, data is more than just a common issue. The amount of information that is generated every day throughout the world is enormous, and must be treated correctly. Google Goods, a centralized data catalog, was implemented within the company to unify data.
With more than 26 billion internal data, this huge amount was bound to generate problems and questions, which Google listed as reasons for designing its tool:
- An enormous data scale
- Data variety
- Data relevance
- The uncertain nature of metadata
- A priority scale
- Semantic data analysis
To answer these problems, Goods catalogs and analyzes this data and presents it in a unified manner. The tool collects the basic metadata and tries to enrich them by analyzing a number of parameters. By repeatedly revisiting data and metadata, Goods is able to enrich itself and evolve.
Learn more about Google Goods and its features.
With Goods, Google prioritizes and unifies data access for all of their teams. The system is meant to be non-intrusive and therefore, operates continuously and invisibly for users in order to provide them with organized and explicit data.
Netflix Metacat
Just like Google, Netflix has numerous data in various formats. As the leading streaming video on demand (SVOD) company, data exploitation is, of course, a…
