Author: Zen and the Art of Computer Programming
The basic concepts, technical principles, implementation steps and application scenarios of ETL
- introduction
1.1. Background introduction
With the rapid development of cloud computing technology, enterprises have increasing demands for data processing. The importance of data in enterprises is self-evident, so how to process data in the cloud has become one of the difficulties for many enterprises.
1.2. Purpose of the article
This article aims to provide a comprehensive guide for developers who need to understand or are using AWS for ETL (extract, transform, load) scenarios. The article will introduce the basic concepts, technical principles, implementation steps, and application scenarios of ETL to help readers better understand the advantages and applications of AWS in ETL.
1.3. Target audience
The target readers of this article are developers who have a certain ETL foundation and need to develop and deploy ETL on AWS. In addition, readers who are interested in ETL technology can also learn relevant knowledge through this article.
- Technical principles and concepts
2.1. Explanation of basic concepts
2.1.1. ETL Overview
ETL (Extract, Transform, Load) is a data processing process, mainly used to extract data from the source system, perform transformation processing, and then load the data into the target system.
2.1.2. ETL life cycle
The ETL life cycle includes the following stages:
- Extraction: Extract data from the source system, usually using SQL queries or program-generated data.
- Transformation: Transform the extracted data, such as data cleaning, data mapping, etc.
- Load: Load the converted data into the target system,