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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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- 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.
Yotpo is a customer content marketing platform that helps businesses generate and leverage customer reviews, photos, and Q&A to increase sales and build brand loyalty. The platform offers a suite of tools that enable businesses to collect and showcase user-generated content across various channels, including their website, social media, and email marketing campaigns. Yotpo also provides advanced analytics and insights to help businesses understand their customers' behavior and preferences, as well as tools to engage with customers and respond to their feedback. Overall, Yotpo helps businesses create a more authentic and engaging customer experience that drives growth and customer loyalty.
RabbitMQ is an open-source message broker software that enables communication between different applications and systems. It acts as a mediator between the sender and receiver of messages, ensuring that messages are delivered reliably and efficiently. RabbitMQ uses a messaging protocol called Advanced Message Queuing Protocol (AMQP) to facilitate communication between different applications. It supports multiple messaging patterns such as point-to-point, publish-subscribe, and request-reply. RabbitMQ is highly scalable and can handle large volumes of messages, making it a popular choice for enterprise-level applications. It also provides features such as message routing, message persistence, and message acknowledgments to ensure reliable message delivery.
Yotpo's API provides access to a wide range of data related to customer reviews, ratings, and user-generated content. The following are the categories of data that can be accessed through Yotpo's API:
1. Reviews and Ratings: Yotpo's API provides access to all customer reviews and ratings for a particular product or service.
2. User-Generated Content: Yotpo's API allows access to user-generated content such as photos, videos, and social media posts related to a particular product or service.
3. Customer Data: Yotpo's API provides access to customer data such as name, email address, and location.
4. Analytics: Yotpo's API allows access to analytics data such as conversion rates, click-through rates, and engagement metrics.
5. Product Data: Yotpo's API provides access to product data such as product descriptions, pricing, and inventory levels.
6. Order Data: Yotpo's API allows access to order data such as order status, shipping information, and payment details.
7. Marketing Data: Yotpo's API provides access to marketing data such as campaign performance, email open rates, and click-through rates.
Overall, Yotpo's API provides a comprehensive set of data that can be used to gain insights into customer behavior, improve product offerings, and optimize marketing strategies.
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.
