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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
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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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Keep your data engineering costs in check
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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.
HelloBaton is a project management tool that helps teams collaborate and manage their tasks efficiently. It allows users to create projects, assign tasks, set deadlines, and track progress in real-time. The platform also offers features such as file sharing, team communication, and time tracking to streamline the workflow. HelloBaton aims to simplify project management for teams of all sizes and industries, providing a user-friendly interface that is easy to navigate. With HelloBaton, teams can stay organized, communicate effectively, and deliver projects on time and within budget.
MySQL is an SQL (Structured Query Language)-based open-source database management system. An application with many uses, it offers a variety of products, from free MySQL downloads of the most recent iteration to support packages with full service support at the enterprise level. The MySQL platform, while most often used as a web database, also supports e-commerce and data warehousing applications, and more.
HelloBaton's API provides access to various types of data related to customer support and communication. The categories of data that the API gives access to are:
1. Conversations: This includes data related to customer conversations such as chat transcripts, email threads, and phone call recordings.
2. Customer information: This includes data related to customer profiles such as name, email address, phone number, and location.
3. Agent information: This includes data related to agent profiles such as name, email address, phone number, and performance metrics.
4. Ticket information: This includes data related to support tickets such as ticket status, priority, and resolution time.
5. Analytics: This includes data related to customer support performance such as response time, resolution rate, and customer satisfaction scores.
6. Integrations: This includes data related to third-party integrations such as CRM systems, helpdesk software, and marketing automation tools.
Overall, HelloBaton's API provides a comprehensive set of data that can be used to improve customer support operations and enhance the customer experience.
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.
