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This article will explain in detail what the work of ETL engineers is, and the content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

With the advent of the era of big data, ETL engineers gradually appear in the eyes of the public, so what do ETL engineers do? To put it bluntly, ETL engineers, also known as database engineers, need to master a variety of popular programming languages, and their daily work is to deal with databases. Here is a detailed description of the work of ETL engineers in order to further understand the profession.

What does ETL mean?

The three letters in ETL represent Extract, Transform and Load, that is, extract, transform and load. Data extraction: extract the data required by the destination data system from the source data system; data conversion: convert the data obtained from the source data source into the form required by the destination data source according to business requirements, and clean and process the incorrect and inconsistent data; data loading: load the converted data to the destination data source.

What do ETL engineers do?

The main tasks of ETL engineers are: system programming, database programming and design. As a part of building a data warehouse, ETL is responsible for extracting the data from distributed and heterogeneous data sources, such as relational data and flat data files, to the temporary middle layer for cleaning, transformation and integration, and finally loading it into the data warehouse or data Mart, which becomes the basis of online analytical processing and data mining. Because in the past, the data of the business system was often taken out and put into the warehouse and modeled according to the star or snowflake type.

The core idea of ELT is to take advantage of the greatly improved performance of downstream data storage and the flexibility of machine learning applications, and not to do too complex calculations in the process of data flow. ETL is responsible for extracting the data from distributed and heterogeneous data sources, such as relational data and plane data files, to the temporary middle layer for cleaning, transformation and integration, and finally loading them into the data warehouse or data Mart, which becomes the basis of online analytical processing and data mining.

ETL is a very important part of data warehouse. It is a necessary step to carry forward the past and the future. Compared with relational database, data warehouse technology has no strict mathematical theoretical basis, and it is more oriented to practical engineering applications. Therefore, from the point of view of engineering application, the data is loaded and processed according to the requirements of the physical data model, and the processing process is directly related to experience. at the same time, this part of the work is directly related to the quality of the data in the data warehouse, thus affecting the quality of the results of online analytical processing and data mining.

Data warehouse is an independent data environment, which needs to import data from online transaction processing environment, external data sources and offline data storage media into data warehouse through extraction process; technically, ETL mainly involves association, transformation, increment, scheduling and monitoring; data in data warehouse system does not require real-time synchronization with data in online transaction processing system, so ETL can be carried out regularly. However, the operation time, sequence and success of multiple ETL are very important to the effectiveness of information in the data warehouse.

Responsibilities of ETL engineer position:

1. ETL development of massive data, which is extracted into all kinds of data requirements.

2. Participate in the design and development of data warehouse architecture.

3. Participate in data warehouse ETL process optimization and solve ETL related technical problems.

4. Be familiar with mainstream database technologies, such as oracle, Sql server, PostgeSQL, etc.

5. Proficient in etl architecture, have some experience in etl development, and understand the deployment and scheduling of daily jobs.

6. Knowledge of data etl development tools, such as Datastage,Congos,Kettle, etc.

What is the work of ETL engineers to share here, I hope that the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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