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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.
A cloud data platform, Snowflake Data Cloud provides a warehouse-as-a-service built specifically for the cloud. The Snowflake platform is designed to empower many types of data workloads, and offers secure, immediate, governed access to a comprehensive network of data. Snowflake’s innovative technology goes above the capabilities of the ordinary database, supplying users all the functionality of database storage, query processing, and cloud services in one package.
1. User information: The Sharepoint API allows you to extract user information such as name, email address, and user ID. 2. Site information: You can extract information about the Sharepoint site, including the site name, URL, and site ID. 3. Document library information: The API allows you to extract information about document libraries, including the library name, URL, and library ID. 4. Document information: You can extract information about individual documents, including the document name, URL, and document ID. 5. List information: The API allows you to extract information about lists, including the list name, URL, and list ID. 6. List item information: You can extract information about individual list items, including the item name, URL, and item ID. 7. Permissions information: The API allows you to extract information about permissions, including who has access to specific sites, libraries, and documents. 8. Search results: You can use the Sharepoint API to extract search results based on specific search criteria. 9. Workflow information: The API allows you to extract information about workflows, including the workflow name, status, and workflow ID. 10. Site usage information: You can extract information about site usage, including the number of visits, unique visitors, and page views.
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.
