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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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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.
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.
A technology-based financial service company, PayPal facilitates online payments between customers and merchants worldwide. The PayPal platform offers secure, affordable, and convenient online financial services, making e-commerce transactions easy and secure for millions of consumers and merchants globally. Customers can link their credit or debit card or their bank account to their PayPal account to make online purchasing simpler and safer.
Teradata Vantage is a cloud-based analytics platform that enables businesses to analyze large amounts of data in real-time. It combines data warehousing, advanced analytics, and machine learning capabilities to provide a comprehensive solution for data-driven decision-making. Vantage allows users to access and analyze data from multiple sources, including structured and unstructured data, and provides a unified view of the data for better insights. It also offers advanced analytics tools such as predictive modeling, natural language processing, and graph analytics. With Vantage, businesses can make faster and more informed decisions, improve operational efficiency, and gain a competitive edge in their industry.
PayPal Transaction's API provides access to a wide range of data related to transactions processed through the PayPal platform. The following are the categories of data that can be accessed through the API:
1. Transaction details: This includes information about the transaction amount, currency, date, and time.
2. Buyer and seller information: This includes details about the buyer and seller, such as their names, email addresses, and PayPal account IDs.
3. Payment status: This includes information about the status of the payment, such as whether it has been completed, pending, or refunded.
4. Payment method: This includes information about the payment method used, such as credit card, PayPal balance, or bank transfer.
5. Shipping information: This includes details about the shipping address and shipping method used for the transaction.
6. Tax and fee information: This includes details about any taxes or fees associated with the transaction.
7. Refund and dispute information: This includes information about any refunds or disputes related to the transaction.
8. Custom fields: This includes any custom fields that were included in the transaction, such as order numbers or product descriptions.
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.
