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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.
Flexport is a full-service worldwide carriage forwarder and logistics platform using modern software to fix the user experience in worldwide trade and this platform is your supply chain source of truth. It makes managing global logistics as simple, maleable, and programmable as modern business demands. Flexport is completely full-service global freight forwarder and logistics platform using modern software to fix the user experience in global trade. Flexport is a certified freight forwarder that uses people and software to manage the complexity of international trade.
ClickHouse is an open-source, column-oriented OLAP database management system that allows users to generate analytical reports using SQL queries. Also offered as a secure and scalable service in the cloud, ClickHouse Cloud allows anyone to effortlessly take advantage of efficient real time analytical processing.
Flexport's API provides access to a wide range of data related to global logistics and supply chain management. The following are the categories of data that can be accessed through Flexport's API:
1. Shipment data: This includes information about the shipment, such as the origin and destination, carrier, mode of transportation, and estimated time of arrival.
2. Customs data: This includes information about customs clearance, such as the customs broker, customs clearance status, and any duties or taxes owed.
3. Inventory data: This includes information about the inventory, such as the quantity, location, and status of goods.
4. Purchase order data: This includes information about purchase orders, such as the supplier, order status, and delivery date.
5. Financial data: This includes information about invoices, payments, and other financial transactions related to the shipment.
6. Analytics data: This includes data related to shipment performance, such as transit times, delivery accuracy, and cost analysis.
Overall, Flexport's API provides a comprehensive set of data that can be used to optimize logistics and supply chain 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.
