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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.
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.
An integrated cloud application and platform service, Oracle offers an array of enterprise information technology solutions. Other company offerings include software-as-a-service (SaaS), platform-as-a-service (PaaS, and infrastructure-as-a-service (IaaS). The Oracle Cloud Infrastructure provides companies the convenience of the public cloud combined with the security and control of on-premises infrastructure. Oracle Cloud Applications help companies streamline their business processes, increase productivity and reduce costs with software applications such as Project Portfolio Management, ERP Financials, Procurement, and more.
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.