ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) tools are crucial for moving data from various sources, such as SaaS applications and databases, to locations where data processing and analytics can occur, like data warehouses or data lakes. These tools require ETL connectors, which establish connections to data sources, enabling data extraction and loading. The number of supported connectors in an ETL tool can indicate its versatility, but it is essential to evaluate how well-suited the tool is to your organization's needs. Businesses commonly use numerous applications, often beyond IT-sanctioned ones, leading to the need for a comprehensive inventory of all software in use. This includes CRM, ERP, marketing automation, and other critical data sources like Salesforce, Google Ads, and analytics tools. Organizations should identify these tools' most important data sources and ensure that the chosen ETL platform supports them. Additionally, determining the right cloud data warehouse is crucial before selecting an ETL tool, as it impacts the data replication process. Once the list of data sources and destinations is established, businesses can evaluate ETL platforms through trial accounts and case studies to ensure they meet organizational needs.