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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).
- Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.
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Including for your Airbyte Open Source instance with our premium support.
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.
Auth0 is basically an authentication and authorization platform for your application as a service. It offers all the tools necessary to form and run a secure identity. Auth0 is a well-known management platform that provides authentication and authorization services. Auth0 is a secure platform that offers both authentication and authorization services for a wide array of websites and applications and it ensures authentication and authorization functionality. Auth0 is a flexible, drop-in solution to attach authentication and authorization services to your applications.
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.
Auth0's API provides access to various types of data related to user authentication and authorization. The following are the categories of data that can be accessed through Auth0's API:
1. User data: This includes information about the user such as their name, email address, and profile picture.
2. Authentication data: This includes data related to the user's authentication such as their login history, IP address, and device information.
3. Authorization data: This includes data related to the user's authorization such as their role, permissions, and access tokens.
4. Application data: This includes data related to the applications that are using Auth0 for authentication such as their name, description, and configuration settings.
5. Tenant data: This includes data related to the Auth0 tenant such as its name, domain, and configuration settings.
6. Logs data: This includes data related to the logs generated by Auth0 such as authentication logs, error logs, and audit logs.
Overall, Auth0's API provides access to a wide range of data related to user authentication and authorization, which can be used to build secure and scalable 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.
