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As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
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Why choose Airbyte as the backbone of your data infrastructure?
Keep your data engineering costs in check
Get Airbyte hosted where you need it to be
- 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.
White-glove enterprise-level support
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.
Zendesk Support is a software designed to help businesses manage customer interactions. It provides businesses with the means to personalize support across any channel with the ability to prioritize, track and solve customer issues. Also built for iOS, Zendesk Support can be accessed on iPhone and iPad, adding a new dimension to the ability to add the necessary people to a customer conversation at any time.
Cloudflare R2 is a new security solution that aims to protect organizations from sophisticated cyber attacks. It combines Cloudflare's existing security products with new features such as advanced bot detection and mitigation, real-time threat intelligence, and enhanced DDoS protection. R2 also includes a new security dashboard that provides organizations with a comprehensive view of their security posture and allows them to quickly respond to threats. The solution is designed to be easy to deploy and manage, making it accessible to organizations of all sizes. Overall, Cloudflare R2 is a powerful tool for organizations looking to improve their security posture and protect against the latest cyber threats.
Zendesk Support's API provides access to a wide range of data related to customer support and service management. The following are the categories of data that can be accessed through the API:
1. Tickets: Information related to customer inquiries, including ticket ID, subject, description, status, priority, and tags.
2. Users: Data related to customer profiles, including name, email, phone number, and organization.
3. Organizations: Information about customer organizations, including name, domain, and tags.
4. Groups: Data related to support groups, including name, description, and membership.
5. Views: Information about support views, including name, description, and filters.
6. Macros: Data related to macros, including name, description, and actions.
7. Triggers: Information about triggers, including name, description, and conditions.
8. Custom Fields: Data related to custom fields, including name, type, and options.
9. Attachments: Information about attachments, including file name, size, and content.
10. Comments: Data related to ticket comments, including author, body, and timestamp. Overall, Zendesk Support's API provides access to a comprehensive set of data that can be used to manage and optimize customer support and service operations.
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.
