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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.
StackAdapt is a programmatic advertising platform that helps businesses and marketers to create, manage, and optimize their digital advertising campaigns. The platform uses artificial intelligence and machine learning algorithms to provide personalized and targeted advertising solutions to its users. StackAdapt offers a range of advertising formats, including display, native, video, and audio ads, and allows users to target their ads based on various parameters such as demographics, interests, and behavior. The platform also provides real-time analytics and reporting, allowing users to track the performance of their campaigns and make data-driven decisions to optimize their advertising strategies. StackAdapt is designed to be user-friendly and intuitive, with a simple and easy-to-use interface that allows users to create and launch campaigns quickly and efficiently. Overall, StackAdapt is a powerful tool for businesses and marketers looking to improve their digital advertising efforts and reach their target audience more effectively. With its advanced targeting capabilities and data-driven approach, StackAdapt can help businesses to achieve better results from their advertising campaigns and drive more conversions and revenue.
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.
1. Campaign data: StackAdapt's API allows you to extract data related to your campaigns, including campaign name, start and end dates, budget, and targeting parameters.
2. Performance data: You can extract performance data for your campaigns, including impressions, clicks, conversions, and cost per action (CPA).
3. Audience data: StackAdapt's API allows you to extract data related to your audience, including demographics, interests, and behaviors.
4. Creative data: You can extract data related to your creatives, including ad format, ad size, and ad copy.
5. Inventory data: StackAdapt's API allows you to extract data related to the inventory you are targeting, including website domains, app names, and ad placements.
6. Geographic data: You can extract data related to the geographic location of your audience, including country, region, and city.
7. Device data: StackAdapt's API allows you to extract data related to the devices your audience is using, including device type, operating system, and browser.
8. Time data: You can extract data related to the time of day and day of the week that your ads are being served, allowing you to optimize your campaigns for maximum impact.
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.