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FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
The Google Web Font service, which is an ever-growing depository of fonts, all are available to use for free on the web, through Open Source Licensing. Whilst it is not the only platform available to provide typefaces to your site, it does have the largest free selection out there. A web font is any font used in a website's design that isn't installed by default on the end user's device a counterpart to a system font.
Google Webfonts API provides access to various types of data related to web fonts. The API allows developers to integrate web fonts into their websites and applications. The following are the categories of data that the Google Webfonts API provides access to:
1. Font families: The API provides access to a wide range of font families that can be used on websites and applications.
2. Font variants: The API provides access to different font variants such as regular, bold, italic, and bold italic.
3. Font subsets: The API provides access to different font subsets such as Latin, Cyrillic, and Greek.
4. Font metadata: The API provides access to metadata related to fonts such as font name, designer, and license information.
5. Font metrics: The API provides access to font metrics such as line height, letter spacing, and font size.
6. Font rendering: The API provides access to font rendering options such as anti-aliasing and sub-pixel rendering.
Overall, the Google Webfonts API provides developers with a comprehensive set of data related to web fonts that can be used to enhance the typography of their websites and applications.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
