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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.
DV360 stands for Display & Video 360 which formerly known as Double click Bid Manager, is a programmatic enterprise-level solution for running media. Display & Video 360 (DV360) is part of the Google Marketing Platform and it is also Google's own demand side platform. DV360 is one of the biggest DSPs with access to almost all major Ad Exchanges, Ad Networks and SSPs. DV360 permits you to target your campaigns more extensively than Google Ads, the targeting possibilities are numerous.
MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol designed for IoT (Internet of Things) devices. It is a publish-subscribe protocol that allows devices to communicate with each other over a network. MQTT is designed to be efficient, reliable, and secure, making it ideal for IoT applications where bandwidth and power are limited. It uses a client-server architecture, where the client devices publish messages to a broker, which then distributes the messages to the subscribed devices. MQTT is widely used in various industries, including home automation, healthcare, transportation, and agriculture, to name a few.
DV 360's API provides access to a wide range of data related to digital advertising campaigns. The following are the categories of data that can be accessed through the API:
1. Campaign data: This includes information about the campaigns such as campaign name, start and end dates, budget, targeting criteria, and creative assets.
2. Performance data: This includes metrics related to the performance of the campaigns such as impressions, clicks, conversions, and cost per action.
3. Audience data: This includes information about the audiences targeted in the campaigns such as demographics, interests, and behaviors.
4. Inventory data: This includes information about the inventory sources used in the campaigns such as websites, apps, and ad exchanges.
5. Bid data: This includes information about the bids placed on the inventory sources and the bidding strategies used.
6. Reporting data: This includes data related to the reports generated for the campaigns such as report type, date range, and metrics included.
7. User data: This includes information about the users who interact with the campaigns such as device type, location, and browsing behavior.
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.