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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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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.
NetSuite is a comprehensive cloud-based business management suite that provides an integrated platform for managing various business processes, including financials, customer relationship management (CRM), e-commerce, inventory management, and more. It offers a unified system that eliminates data silos and enables real-time visibility across an organization. NetSuite's core features include financial management, order and billing management, supply chain and warehouse management, project management, and customer support management. With its flexible and scalable architecture, NetSuite can adapt to the unique needs of businesses across different industries and sizes. By consolidating multiple business functions into a single platform, NetSuite streamlines operations, improves efficiency, and provides actionable insights for informed decision-making.
BigQuery is an enterprise data warehouse that draws on the processing power of Google Cloud Storage to enable fast processing of SQL queries through massive datasets. BigQuery helps businesses select the most appropriate software provider to assemble their data, based on the platforms the business uses. Once a business’ data is acculumated, it is moved into BigQuery. The company controls access to the data, but BigQuery stores and processes it for greater speed and convenience.
Netsuite's API provides access to a wide range of data categories, including:
1. Financial data: This includes information related to accounting, billing, payments, and financial reporting.
2. Customer data: This includes data related to customer profiles, orders, transactions, and interactions.
3. Inventory data: This includes information related to inventory levels, stock movements, and product information.
4. Sales data: This includes data related to sales orders, quotes, and opportunities.
5. Marketing data: This includes data related to campaigns, leads, and marketing automation.
6. Support data: This includes data related to customer support cases, tickets, and resolutions.
7. Employee data: This includes data related to employee profiles, time tracking, and payroll.
8. Custom data: This includes data related to custom fields, records, and workflows that are specific to a company's unique needs.
Overall, Netsuite's API provides access to a comprehensive set of data categories that can be used to support a wide range of business processes and decision-making activities.
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.
