what is extraction transformation and loading quizlet

Extract, transform and load (ETL) refers to the process of collecting data from various sources, cleaning, transforming and then loading it into a database or data warehouse. ETL plays a crucial role in business intelligence, data warehousing and analytics. It is a three-step process that involves extracting or retrieving data, transforming it to meet business requirements and then loading it into the target database. The extracted data comes from multiple sources, including databases, files, web services and APIs. In this article, we will discuss in detail the key components of ETL, its importance and how it is implemented in Quizlet.

What is Extraction?

Extraction is the process of retrieving data from different sources and bringing it together into one place. During the extraction phase, data is collected from databases, applications, files, APIs and web services. This process is the first step in the ETL process, without which it would not be possible to move forward. During data extraction, it is essential to ensure that only relevant and essential data is collected, as this affects the performance of the entire ETL process. In Quizlet, data is extracted from various sources, including Google Analytics, Amazon S3 and databases.

What is Transformation?

Transformation involves converting the raw data collected during the extraction phase into a format that meets business requirements. Typically, data transformation includes data cleansing, formatting, restructuring, and aggregation. This stage is critical in ensuring that the data is comprehensive, valid and accurate. One of the key benefits of transformation is that it enables businesses to analyse and gain insights from their data. In Quizlet, data transformation involves Regex parsing, geo-coding, and normalization.

What is Loading?

Loading is the final step in the ETL process, where data is loaded into a target database or data warehouse. After data has been transformed, the ETL process stores the data back into the target system. This stage comprises two parts – loading into the temporary staging area and loading into the final destination table. In this phase, data is stored, saved into the system, and subsequently used for analysis and decision-making. In Quizlet, the target databases include Cassandra, Postgres, Aurora/MySQL, and Redshift.

Conclusion

In conclusion, ETL is a vital process for businesses that wish to gain insight and efficiency from the data they collect from multiple sources. The process of ETL involves three key phases: extraction, transformation and loading. Extraction collects data from different sources, while transformation acts to transform raw data into a format that meets business requirements. Finally, data is loaded into a target database. In Quizlet, the ETL process helps to make sense of the complex sources of data collected, enabling businesses to be more productive, profitable and competitive.