ETL is commonly used for data warehousing, where an organization electronically integrates all its business information across various databases into one central repository. The process makes it easy for stakeholders and other authorized personnel to access and retrieve company information for analytics purposes.
ETL is also essential for companies looking to do away with legacy systems. To keep up with technology, companies can leverage ETL applications to extract data from out of date systems, converting them into the new system’s acceptable format, and successfully loading it into the updated system.
The main distinction is that the former restructures and converts data on an external server before loading, while the latter performs the converting and loading processes simultaneously on its server.
Additionally, the ETL process involves collecting unprocessed data and restructuring it prior to moving it into the target system. On the other hand, ELT will directly send unprocessed information into the target application.
The four main types of ETL tools include:
Some of the top ETL tools include:
Identifying relationships, filtering, splitting columns, and fixing data errors through mapping and deduplication are some of the most common ETL transformations. Date, time, and unit conversions are others that top the list.
This is a set of predefined activities that make it possible for business entities to get data from diverse sources, restructure and cleanse them, and upload them onto another application or warehouse database.
It is essential because:
An ETL developer oversees a company’s ETL pipeline, ensuring all processes in all three stages run smoothly.
In eCommerce, we can leverage ETL to bring together products from different suppliers into a single marketplace.
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