Which Is An Accessible Way To Extract And Share Data Within And Across Organizations?
There are many accessible ways to extract and share data within and across organizations. Here are a few examples: Application programming interfaces (APIs): APIs are a set of rules that allow two software applications to talk to each other. They are a powerful tool for extracting and sharing data, as they can be used to programmatically access data from a diversity of sources. Data warehouses: Data warehouses are centralized repositories of data from multiple sources. They can be used to store and share data that is used for decision-making and analytics. Data lakes: Data lakes are a more unstructured type of data repository. They can be used to store large amounts of data that may not be immediately useful for decision-making or analytics. Data sharing platforms: Data sharing platforms are a way to make data more accessible to a wider range of users. They can provide a way to search for and find data, as well as to collaborate on data projects. However, APIs, data warehouse...