Before Data processing: ELT

Before ELT : ETL

ETL stands for Extract, Transform, and Load. Historically, ETL has been the best and most reliable way to migrate data from one database to another. In addition to move data from one database to another, it also converts databases into a single format that can be utilized in the final point.

  • Extract: Collecting data from different database. Sometimes using a staging table.
  • Transform: It’s critical. Converting recently extracted data into the correct form so that it can be placed into another database. Sometimes there are other types of transformation involved in this step.
  • Load: Load data into the target database or storage.

ELT

ELT is more modern than the ETL process. It pushes the transformation component of the process to the target database for better performance. Because of modern data storage systems have grown their compute power, it’s more efficient to load the data before transforming.

Benefits of ELT

ELT offers a number of Benefits, including:

  • Simplifying management: ELT separates loading and conversion tasks, thereby reducing risk and simplifying project management.
  • Efficient: ELT can use the computing power of computer or Advanced hardware to perform the conversion.
  • Flexibility — When you use ELT, you move the entire dataset to the target. It’s suitable for a variety of businesses, projects and applications.

PAAS and SAAS give organizations the ability to expand resources. They fit well with ELT. Although ELT is still developing, it promises unlimited access to data, which shortens development time and saves a lot of costs.

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