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- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
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- Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
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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.
A communication solutions agency, Kafka is a cloud-based / on-prem distributed system offering social media services, public relations, and events. For event streaming, three main functionalities are available: the ability to (1) subscribe to (read) and publish (write) streams of events, (2) store streams of events indefinitely, durably, and reliably, and (3) process streams of events in either real-time or retrospectively. Kafka offers these capabilities in a secure, highly scalable, and elastic manner.
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.
