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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.
JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write and easy for machines to parse and generate. It is a text format that is used to transmit data between a server and a web application as an alternative to XML. JSON files consist of key-value pairs, where the key is a string and the value can be a string, number, boolean, null, array, or another JSON object. JSON is widely used in web development and is supported by most programming languages. It is also used for storing configuration data, logging, and data exchange between different systems.
JSON File provides access to a wide range of data types, including:
- User data: This includes information about individual users, such as their name, email address, and account preferences.
- Product data: This includes information about the products or services offered by a company, such as their name, description, price, and availability.
- Order data: This includes information about customer orders, such as the products ordered, the order status, and the shipping address.
- Inventory data: This includes information about the stock levels of products, as well as any backorders or out-of-stock items.
- Analytics data: This includes information about website traffic, user behavior, and other metrics that can help businesses optimize their online presence.
- Marketing data: This includes information about marketing campaigns, such as email open rates, click-through rates, and conversion rates.
- Financial data: This includes information about revenue, expenses, and other financial metrics that can help businesses track their performance and make informed decisions.
Overall, JSON File provides a comprehensive set of data that can help businesses better understand their customers, products, and performance.
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:
