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Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.
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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.
Gridly is a cloud-based headless CMS for multilingual game-as-a-service projects with an open API, browser-based spreadsheet UI, and built-in functions to handle localization and frequent updates. It is a collaborative system for users of any technical ability. Gridly is spreadsheet for multi-language content tailor-made for games and digital products. By connecting development, design, and localization teams and their tools, Gridly serves as a single source of truth for faster content updates. Gridly improves collaboration and streamlines content management and localization for your games or apps.
Google Sheets is a cloud-based spreadsheet tool that allows users to create, edit, and share spreadsheets online. It is a part of the Google Drive suite of productivity tools and is accessible from any device with an internet connection. Google Sheets offers a range of features that make it a powerful tool for data analysis, project management, and collaboration. Users can create and format spreadsheets, add formulas and functions, and create charts and graphs to visualize data. Google Sheets also allows users to collaborate in real-time, making it easy to work on projects with others. Users can share spreadsheets with specific people or make them public, and can control who has access to edit or view the document. Additionally, Google Sheets integrates with other Google tools such as Google Forms, allowing users to collect data and automatically populate it into a spreadsheet. Overall, Google Sheets is a versatile and user-friendly tool that can be used for a variety of tasks, from simple calculations to complex data analysis.
Gridly's API provides access to various types of data that can be used to manage and organize content for web and mobile applications. The following are the categories of data that Gridly's API gives access to:
1. Content data: This includes all the content that is stored in Gridly, such as text, images, videos, and audio files.
2. Metadata: This includes information about the content, such as the date it was created, the author, and any tags or categories associated with it.
3. User data: This includes information about the users who access the content, such as their login credentials, preferences, and activity history.
4. Analytics data: This includes data about how users interact with the content, such as page views, clicks, and engagement metrics.
5. Configuration data: This includes settings and configurations for the application, such as user permissions, access controls, and integration with other systems.
Overall, Gridly's API provides a comprehensive set of data that can be used to build and manage content-rich 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.