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What our users say
Andre Exner
"For TUI Musement, Airbyte cut development time in half and enabled dynamic customer experiences."
Chase Zieman
“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”
Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
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.
The Railz API connects to major accounting, banking, and eCommerce platforms to provide you quick access to normalized and analyzed financial data on your small and medium-sized customers.
Railz's API provides access to a wide range of financial data related to small and medium-sized businesses. The data can be categorized into the following categories:
1. Financial Statements: This category includes data related to income statements, balance sheets, and cash flow statements.
2. Transaction Data: This category includes data related to transactions such as sales, purchases, and expenses.
3. Banking Data: This category includes data related to bank accounts, transactions, and balances.
4. Credit Data: This category includes data related to credit scores, credit reports, and credit history.
5. Tax Data: This category includes data related to tax filings, payments, and refunds.
6. Payroll Data: This category includes data related to employee payroll, taxes, and benefits.
7. Accounting Data: This category includes data related to general ledger, accounts payable, and accounts receivable.
8. Business Data: This category includes data related to business information such as company name, address, and industry classification.
Overall, Railz's API provides a comprehensive set of financial data that can be used by businesses and financial institutions to make informed decisions.
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.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
