In this case, it refers to books, newspapers, reports, spreadsheets, invoices, etc.ĭata extraction from physical sources is usually manual and more involved than extraction from digital sources. Physical data usually exists in print or physical media. We will explore this topic in more depth later in this article. In many cases, you might want to extract data from a website using web scraping. This includes more complex data structures such as web pages and databases as well. This refers to any kind of data set that can live on a file either online or in a device’s local storage. Digital Sourcesĭigital data is one of the most common sources of data in modern times. To keep things simple, we will look at two of the biggest categories for data sources. There are almost endless ways in which data can be formatted. You would then have to review and process the extractions to make sure that they are both formatted equally.
In some scenarios, you might extract similar data sets from two different sources. This is an important distinction to keep in mind as data extraction does not refer to the processing or analysis that might take place after the data itself is extracted.
What is Data Extractionĭata Extraction refers to the process of retrieving data from one format into a more “useful” format for further processing. Here’s where Data Extraction plays a part in unlocking this value. Data exists everywhere and in many different formats, from web pages to printed materials.Īnd as we have established before, there is a lot of value that can be found in the right set of data.
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